Mihaela van der Schaar

1052 papers A* 163A 49B 34C 13Misc 36Journal 614Unranked 137

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Decision-Theoretic Formalisation of Steganography With Applications to LLM Monitoring. CoRR Usman Anwar, Julianna Piskorz, David D. Baek, David Africa, James Weatherall, Max Tegmark, Christian Schroeder de Witt, Mihaela van der Schaar, David Krueger
2026	J	`jnl`	AgentScore: Autoformulation of Deployable Clinical Scoring Systems. CoRR Silas Ruhrberg Estévez, Christopher Chiu, Mihaela van der Schaar
2026	J	`jnl`	Eliciting Numerical Predictive Distributions of LLMs Without Autoregression. CoRR Julianna Piskorz, Katarzyna Kobalczyk, Mihaela van der Schaar
2026	J	`jnl`	GameTalk: Training LLMs for Strategic Conversation. CoRR Victor Conchello Vendrell, Max Ruiz Luyten, Mihaela van der Schaar
2026	J	`jnl`	Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification. CoRR Yichi Zhang, Nabeel Seedat, Yinpeng Dong, Peng Cui, Jun Zhu, Mihaela van der Schaar
2026	J	`jnl`	Hyperparameter Trajectory Inference with Conditional Lagrangian Optimal Transport. CoRR Harry Amad, Mihaela van der Schaar
2026	J	`jnl`	Knowledge-Informed Kernel State Reconstruction for Interpretable Dynamical System Discovery. CoRR Luca Muscarnera, Silas Ruhrberg Estévez, Samuel Holt, Evgeny Saveliev, Mihaela van der Schaar
2026	J	`jnl`	Multi-Agent Systems Should be Treated as Principal-Agent Problems. CoRR Paulius Rauba, Simonas Cepenas, Mihaela van der Schaar
2026	J	`jnl`	No More, No Less: Least-Privilege Language Models. CoRR Paulius Rauba, Dominykas Seputis, Patrikas Vanagas, Mihaela van der Schaar
2026	J	`jnl`	Nonparametric LLM Evaluation from Preference Data. CoRR Dennis Frauen, Athiya Deviyani, Mihaela van der Schaar, Stefan Feuerriegel
2026	J	`jnl`	The Reasoning-Creativity Trade-off: Toward Creativity-Driven Problem Solving. CoRR Max Ruiz Luyten, Mihaela van der Schaar
2026	J	`jnl`	Tiny Autoregressive Recursive Models. CoRR Paulius Rauba, Claudio Fanconi, Mihaela van der Schaar
2025	A	`conf`	Active Feature Acquisition for Personalised Treatment Assignment. AISTATS Julianna Piskorz, Nicolás Astorga, Jeroen Berrevoets, Mihaela van der Schaar
2025	A*	`conf`	Active Task Disambiguation with LLMs. ICLR Kasia Kobalczyk, Nicolás Astorga, Tennison Liu, Mihaela van der Schaar
2025	J	`jnl`	Active Task Disambiguation with LLMs. CoRR Katarzyna Kobalczyk, Nicolas Astorga, Tennison Liu, Mihaela van der Schaar
2025	J	`jnl`	Agents Require Metacognitive and Strategic Reasoning to Succeed in the Coming Labor Markets. CoRR Simpson Zhang, Tennison Liu, Mihaela van der Schaar
2025	J	`jnl`	Algorithms for reliable decision-making need causal reasoning. Nat. Comput. Sci. Christoph Kern, Unai Fischer Abaigar, Jonas Schweisthal, Dennis Frauen, Rayid Ghani, Stefan Feuerriegel, Mihaela van der Schaar, Frauke Kreuter
2025	A*	`conf`	AutoCATE: End-to-End, Automated Treatment Effect Estimation. ICML Toon Vanderschueren, Tim Verdonck, Mihaela van der Schaar, Wouter Verbeke
2025	A*	`conf`	Autoformulation of Mathematical Optimization Models Using LLMs. ICML Nicolás Astorga, Tennison Liu, Yuanzhang Xiao, Mihaela van der Schaar
2025	J	`jnl`	Automated Ensemble Multimodal Machine Learning for Healthcare. IEEE J. Biomed. Health Informatics Fergus Imrie, Stefan Denner, Lucas S. Brunschwig, Klaus H. Maier-Hein, Mihaela van der Schaar
2025	A	`conf`	Beyond Size-Based Metrics: Measuring Task-Specific Complexity in Symbolic Regression. AISTATS Krzysztof Kacprzyk, Mihaela van der Schaar
2025	J	`jnl`	Beyond the ATE: Interpretable Modelling of Treatment Effects over Dose and Time. CoRR Julianna Piskorz, Krzysztof Kacprzyk, Harry Amad, Mihaela van der Schaar
2025	A*	`conf`	Bootstrapping Self-Improvement of Language Model Programs for Zero-Shot Schema Matching. ICML Nabeel Seedat, Mihaela van der Schaar
2025	A*	`conf`	Continuously Updating Digital Twins using Large Language Models. ICML Harry Amad, Nicolás Astorga, Mihaela van der Schaar
2025	J	`jnl`	Continuously Updating Digital Twins using Large Language Models. CoRR Harry Amad, Nicolás Astorga, Mihaela van der Schaar
2025	A*	`conf`	Decision Tree Induction Through LLMs via Semantically-Aware Evolution. ICLR Tennison Liu, Nicolas Huynh, Mihaela van der Schaar
2025	J	`jnl`	Decision Tree Induction Through LLMs via Semantically-Aware Evolution. CoRR Tennison Liu, Nicolas Huynh, Mihaela van der Schaar
2025	J	`jnl`	Deep Hierarchical Learning with Nested Subspace Networks. CoRR Paulius Rauba, Mihaela van der Schaar
2025	A	`conf`	Differentiable Causal Structure Learning with Identifiability by NOTIME. AISTATS Jeroen Berrevoets, Jakob Raymaekers, Mihaela van der Schaar, Tim Verdonck, Ruicong Yao
2025	A*	`conf`	G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration. ICML Samuel Holt, Max Ruiz Luyten, Antonin Berthon, Mihaela van der Schaar
2025	J	`jnl`	G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration. CoRR Samuel Holt, Max Ruiz Luyten, Antonin Berthon, Mihaela van der Schaar
2025	A*	`conf`	Going Beyond Static: Understanding Shifts with Time-Series Attribution. ICLR Jiashuo Liu, Nabeel Seedat, Peng Cui, Mihaela van der Schaar
2025	J	`jnl`	Guest Editorial: Introduction to the Special Section on Large-Scale Multimodal Learning: Universality, Robustness, Efficiency, and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. Peng Xu, Song Bai, Bowen Zhou, David A. Clifton, Andrea Vedaldi, Mihaela van der Schaar, Luc Van Gool
2025	J	`jnl`	Hypothesis Hunting with Evolving Networks of Autonomous Scientific Agents. CoRR Tennison Liu, Silas Ruhrberg Estévez, David L. Bentley, Mihaela van der Schaar
2025	J	`jnl`	Improving LLM Agent Planning with In-Context Learning via Atomic Fact Augmentation and Lookahead Search. CoRR Samuel Holt, Max Ruiz Luyten, Thomas Pouplin, Mihaela van der Schaar
2025	J	`jnl`	Improving the Generation and Evaluation of Synthetic Data for Downstream Medical Causal Inference. CoRR Harry Amad, Zhaozhi Qian, Dennis Frauen, Julianna Piskorz, Stefan Feuerriegel, Mihaela van der Schaar
2025	J	`jnl`	Interpretable Reward Modeling with Active Concept Bottlenecks. CoRR Sonia Laguna, Katarzyna Kobalczyk, Julia E. Vogt, Mihaela van der Schaar
2025	—	`conf`	Inverse Reinforcement Learning Meets Large Language Model Alignment. ACL (5) Mihaela van der Schaar, Hao Sun
2025	J	`jnl`	Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities. CoRR Hao Sun, Mihaela van der Schaar
2025	J	`jnl`	Language Bottleneck Models: A Framework for Interpretable Knowledge Tracing and Beyond. CoRR Antonin Berthon, Mihaela van der Schaar
2025	J	`jnl`	Learning a Dense Reasoning Reward Model from Expert Demonstration via Inverse Reinforcement Learning. CoRR Claudio Fanconi, Nicolás Astorga, Mihaela van der Schaar
2025	A*	`conf`	No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs. ICLR Krzysztof Kacprzyk, Mihaela van der Schaar
2025	J	`jnl`	No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs. CoRR Krzysztof Kacprzyk, Mihaela van der Schaar
2025	J	`jnl`	Not All Explanations for Deep Learning Phenomena Are Equally Valuable. CoRR Alan Jeffares, Mihaela van der Schaar
2025	J	`jnl`	OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models. CoRR Hao Sun, Yunyi Shen, Mihaela van der Schaar
2025	J	`jnl`	Overlap-weighted orthogonal meta-learner for treatment effect estimation over time. CoRR Konstantin Hess, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel
2025	—	`conf`	Position: All Current Generative Fidelity and Diversity Metrics are Flawed. ICML (Position Papers) Ossi Räisä, Boris van Breugel, Mihaela van der Schaar
2025	J	`jnl`	Position: All Current Generative Fidelity and Diversity Metrics are Flawed. CoRR Ossi Räisä, Boris van Breugel, Mihaela van der Schaar
2025	—	`conf`	Position: Not All Explanations for Deep Learning Phenomena Are Equally Valuable. ICML (Position Papers) Alan Jeffares, Mihaela van der Schaar
2025	—	`conf`	Position: Truly Self-Improving Agents Require Intrinsic Metacognitive Learning. ICML (Position Papers) Tennison Liu, Mihaela van der Schaar
2025	A*	`conf`	Preference Learning for AI Alignment: a Causal Perspective. ICML Kasia Kobalczyk, Mihaela van der Schaar
2025	J	`jnl`	Preference Learning for AI Alignment: a Causal Perspective. CoRR Katarzyna Kobalczyk, Mihaela van der Schaar
2025	J	`jnl`	Redefining digital health interfaces with large language models. Frontiers Artif. Intell. Fergus Imrie, Paulius Rauba, Mihaela van der Schaar
2025	J	`jnl`	Reusing Embeddings: Reproducible Reward Model Research in Large Language Model Alignment without GPUs. CoRR Hao Sun, Yunyi Shen, Jean-Francois Ton, Mihaela van der Schaar
2025	J	`jnl`	Revolutionizing Clinical Trials: A Manifesto for AI-Driven Transformation. CoRR Mihaela van der Schaar, Richard W. Peck, Eoin F. McKinney, James Weatherall, Stuart Bailey, Justine Rochon, Chris Anagnostopoulos, Pierre Marquet, Anthony Wood, Nicky Best, Harry Amad, Julianna Piskorz, Krzysztof Kacprzyk, Rafik Salama, Christina Gunther, Francesca Frau, Antoine Pugeat, Ramon Hernandez
2025	A*	`conf`	Risk-Sensitive Diffusion: Robustly Optimizing Diffusion Models with Noisy Samples. ICLR Yangming Li, Max Ruiz Luyten, Mihaela van der Schaar
2025	J	`jnl`	Semantic-KG: Using Knowledge Graphs to Construct Benchmarks for Measuring Semantic Similarity. CoRR Qiyao Wei, Edward R. Morrell, Lea Goetz, Mihaela van der Schaar
2025	J	`jnl`	Simulating Viva Voce Examinations to Evaluate Clinical Reasoning in Large Language Models. CoRR Christopher Chiu, Silviu Pitis, Mihaela van der Schaar
2025	A*	`conf`	Skip the Equations: Learning Behavior of Personalized Dynamical Systems Directly From Data. ICML Krzysztof Kacprzyk, Julianna Piskorz, Mihaela van der Schaar
2025	A*	`conf`	Statistical Hypothesis Testing for Auditing Robustness in Language Models. ICML Paulius Rauba, Qiyao Wei, Mihaela van der Schaar
2025	J	`jnl`	Statistical Hypothesis Testing for Auditing Robustness in Language Models. CoRR Paulius Rauba, Qiyao Wei, Mihaela van der Schaar
2025	A*	`conf`	Stochastic Encodings for Active Feature Acquisition. ICML Alexander Luke Ian Norcliffe, Changhee Lee, Fergus Imrie, Mihaela van der Schaar, Pietro Lio
2025	J	`jnl`	Stochastic Encodings for Active Feature Acquisition. CoRR Alexander Norcliffe, Changhee Lee, Fergus Imrie, Mihaela van der Schaar, Pietro Lio
2025	A*	`conf`	Strategic Planning: A Top-Down Approach to Option Generation. ICML Max Ruiz Luyten, Antonin Berthon, Mihaela van der Schaar
2025	J	`jnl`	Strategic Self-Improvement for Competitive Agents in AI Labour Markets. CoRR Christopher Chiu, Simpson Zhang, Mihaela van der Schaar
2025	J	`jnl`	Technical Report: Facilitating the Adoption of Causal Inference Methods Through LLM-Empowered Co-Pilot. CoRR Jeroen Berrevoets, Julianna Piskorz, Robert Davis, Harry Amad, James Weatherall, Mihaela van der Schaar
2025	J	`jnl`	The AI Imperative: Scaling High-Quality Peer Review in Machine Learning. CoRR Qiyao Wei, Samuel Holt, Jing Yang, Markus Wulfmeier, Mihaela van der Schaar
2025	A*	`conf`	The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data. ICML Thomas Pouplin, Kasia Kobalczyk, Hao Sun, Mihaela van der Schaar
2025	J	`jnl`	Timely Clinical Diagnosis through Active Test Selection. CoRR Silas Ruhrberg Estévez, Nicolás Astorga, Mihaela van der Schaar
2025	A*	`conf`	Towards Automated Knowledge Integration From Human-Interpretable Representations. ICLR Kasia Kobalczyk, Mihaela van der Schaar
2025	J	`jnl`	Towards Human-Guided, Data-Centric LLM Co-Pilots. CoRR Evgeny Saveliev, Jiashuo Liu, Nabeel Seedat, Anders Boyd, Mihaela van der Schaar
2025	J	`jnl`	Towards Human-Guided, Data-Centric LLM Co-Pilots. J. Data-centric Mach. Learn. Res. Evgeny Saveliev, Jiashuo Liu, Nabeel Seedat, Anders Boyd, Mihaela van der Schaar
2025	A	`conf`	Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions. AISTATS Omer Noy Klein, Alihan Hüyük, Ron Shamir, Uri Shalit, Mihaela van der Schaar
2025	J	`jnl`	Towards Regulatory-Confirmed Adaptive Clinical Trials: Machine Learning Opportunities and Solutions. CoRR Omer Noy Klein, Alihan Hüyük, Ron Shamir, Uri Shalit, Mihaela van der Schaar
2025	J	`jnl`	Towards a Cascaded LLM Framework for Cost-effective Human-AI Decision-Making. CoRR Claudio Fanconi, Mihaela van der Schaar
2025	J	`jnl`	Treatment Effect Estimation for Optimal Decision-Making. CoRR Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Mihaela van der Schaar, Stefan Feuerriegel
2025	J	`jnl`	Truly Self-Improving Agents Require Intrinsic Metacognitive Learning. CoRR Tennison Liu, Mihaela van der Schaar
2025	A*	`conf`	Unified Screening for Multiple Diseases. ICML Yigit Narter, Alihan Hüyük, Mihaela van der Schaar, Cem Tekin
2025	A	`conf`	Visualizing token importance for black-box language models. AISTATS Paulius Rauba, Qiyao Wei, Mihaela van der Schaar
2025	J	`jnl`	Visualizing token importance for black-box language models. CoRR Paulius Rauba, Qiyao Wei, Mihaela van der Schaar
2025	J	`jnl`	What's the next frontier for Data-centric AI? Data Savvy Agents. CoRR Nabeel Seedat, Jiashuo Liu, Mihaela van der Schaar
2024	A*	`conf`	A Neural Framework for Generalized Causal Sensitivity Analysis. ICLR Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
2024	J	`jnl`	A Study of Posterior Stability for Time-Series Latent Diffusion. CoRR Yangming Li, Mihaela van der Schaar
2024	A*	`conf`	A theoretical design of concept sets: improving the predictability of concept bottleneck models. NeurIPS Max Ruiz Luyten, Mihaela van der Schaar
2024	A*	`conf`	Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios. NeurIPS Nicolás Astorga, Tennison Liu, Nabeel Seedat, Mihaela van der Schaar
2024	A	`conf`	Adaptive Experiment Design with Synthetic Controls. AISTATS Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar
2024	J	`jnl`	Adaptive Experiment Design with Synthetic Controls. CoRR Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar
2024	J	`jnl`	Autoformulation of Mathematical Optimization Models Using LLMs. CoRR Nicolás Astorga, Tennison Liu, Yuanzhang Xiao, Mihaela van der Schaar
2024	J	`jnl`	Automated Ensemble Multimodal Machine Learning for Healthcare. CoRR Fergus Imrie, Stefan Denner, Lucas S. Brunschwig, Klaus H. Maier-Hein, Mihaela van der Schaar
2024	A*	`conf`	Automatically Learning Hybrid Digital Twins of Dynamical Systems. NeurIPS Samuel Holt, Tennison Liu, Mihaela van der Schaar
2024	J	`jnl`	Automatically Learning Hybrid Digital Twins of Dynamical Systems. CoRR Samuel Holt, Tennison Liu, Mihaela van der Schaar
2024	J	`jnl`	Causal Deep Learning: Encouraging Impact on Real-world Problems Through Causality. Found. Trends Signal Process. Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
2024	J	`jnl`	Causal machine learning for predicting treatment outcomes. CoRR Stefan Feuerriegel, Dennis Frauen, Valentyn Melnychuk, Jonas Schweisthal, Konstantin Hess, Alicia Curth, Stefan Bauer, Niki Kilbertus, Isaac S. Kohane, Mihaela van der Schaar
2024	J	`jnl`	CliMB: An AI-enabled Partner for Clinical Predictive Modeling. CoRR Evgeny Saveliev, Tim Schubert, Thomas Pouplin, Vasilis Kosmoliaptsis, Mihaela van der Schaar
2024	A*	`conf`	Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models. NeurIPS Paulius Rauba, Nabeel Seedat, Max Ruiz Luyten, Mihaela van der Schaar
2024	J	`jnl`	Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models. CoRR Paulius Rauba, Nabeel Seedat, Max Ruiz Luyten, Mihaela van der Schaar
2024	A*	`conf`	Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in low-data regimes. ICML Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar
2024	A	`conf`	DAGnosis: Localized Identification of Data Inconsistencies using Structures. AISTATS Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
2024	J	`jnl`	DAGnosis: Localized Identification of Data Inconsistencies using Structures. CoRR Nicolas Huynh, Jeroen Berrevoets, Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
2024	J	`jnl`	DMLR: Data-centric Machine Learning Research - Past, Present and Future. J. Data-centric Mach. Learn. Res. Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2024	A*	`conf`	Data-Driven Discovery of Dynamical Systems in Pharmacology using Large Language Models. NeurIPS Samuel Holt, Zhaozhi Qian, Tennison Liu, James Weatherall, Mihaela van der Schaar
2024	J	`jnl`	Deep Generative Symbolic Regression. CoRR Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar
2024	A*	`conf`	Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond. NeurIPS Alan Jeffares, Alicia Curth, Mihaela van der Schaar
2024	J	`jnl`	Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond. CoRR Alan Jeffares, Alicia Curth, Mihaela van der Schaar
2024	A*	`conf`	Defining Expertise: Applications to Treatment Effect Estimation. ICLR Alihan Hüyük, Qiyao Wei, Alicia Curth, Mihaela van der Schaar
2024	J	`jnl`	Defining Expertise: Applications to Treatment Effect Estimation. CoRR Alihan Hüyük, Qiyao Wei, Alicia Curth, Mihaela van der Schaar
2024	A*	`conf`	Dense Reward for Free in Reinforcement Learning from Human Feedback. ICML Alex James Chan, Hao Sun, Samuel Holt, Mihaela van der Schaar
2024	J	`jnl`	Dense Reward for Free in Reinforcement Learning from Human Feedback. CoRR Alex J. Chan, Hao Sun, Samuel Holt, Mihaela van der Schaar
2024	A*	`conf`	Discovering Features with Synergistic Interactions in Multiple Views. ICML Chohee Kim, Mihaela van der Schaar, Changhee Lee
2024	A*	`conf`	Discovering Preference Optimization Algorithms with and for Large Language Models. NeurIPS Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob N. Foerster, Mihaela van der Schaar, Robert T. Lange
2024	J	`jnl`	Discovering Preference Optimization Algorithms with and for Large Language Models. CoRR Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob N. Foerster, Mihaela van der Schaar, Robert Tjarko Lange
2024	A*	`conf`	Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI. ICLR Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2024	J	`jnl`	Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI. CoRR Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2024	J	`jnl`	Few-shot Steerable Alignment: Adapting Rewards and LLM Policies with Neural Processes. CoRR Katarzyna Kobalczyk, Claudio Fanconi, Hao Sun, Mihaela van der Schaar
2024	J	`jnl`	Generalization - a key challenge for responsible AI in patient-facing clinical applications. npj Digit. Medicine Lea Goetz, Nabeel Seedat, Robert Vandersluis, Mihaela van der Schaar
2024	J	`jnl`	Informed Meta-Learning. CoRR Katarzyna Kobalczyk, Mihaela van der Schaar
2024	J	`jnl`	Inverse-RLignment: Inverse Reinforcement Learning from Demonstrations for LLM Alignment. CoRR Hao Sun, Mihaela van der Schaar
2024	A*	`conf`	L2MAC: Large Language Model Automatic Computer for Extensive Code Generation. ICLR Samuel Holt, Max Ruiz Luyten, Mihaela van der Schaar
2024	J	`jnl`	LLMs for Generalizable Language-Conditioned Policy Learning under Minimal Data Requirements. CoRR Thomas Pouplin, Katarzyna Kobalczyk, Hao Sun, Mihaela van der Schaar
2024	J	`jnl`	LaTable: Towards Large Tabular Models. CoRR Boris van Breugel, Jonathan Crabbé, Rob Davis, Mihaela van der Schaar
2024	A*	`conf`	Large Language Models to Enhance Bayesian Optimization. ICLR Tennison Liu, Nicolás Astorga, Nabeel Seedat, Mihaela van der Schaar
2024	J	`jnl`	Large Language Models to Enhance Bayesian Optimization. CoRR Tennison Liu, Nicolás Astorga, Nabeel Seedat, Mihaela van der Schaar
2024	J	`jnl`	Linear Deconfounded Score Method: Scoring DAGs With Dense Unobserved Confounding. IEEE Trans. Neural Networks Learn. Syst. Alexis Bellot, Mihaela van der Schaar
2024	J	`jnl`	Matchmaker: Self-Improving Large Language Model Programs for Schema Matching. CoRR Nabeel Seedat, Mihaela van der Schaar
2024	A*	`conf`	Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments. ICML Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel
2024	J	`jnl`	Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments. CoRR Jonas Schweisthal, Dennis Frauen, Mihaela van der Schaar, Stefan Feuerriegel
2024	J	`jnl`	Navigating Data-Centric Artificial Intelligence With DC-Check: Advances, Challenges, and Opportunities. IEEE Trans. Artif. Intell. Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2024	A*	`conf`	ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. ICLR Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
2024	J	`jnl`	ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. CoRR Krzysztof Kacprzyk, Samuel Holt, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
2024	A*	`conf`	On Error Propagation of Diffusion Models. ICLR Yangming Li, Mihaela van der Schaar
2024	J	`jnl`	On the consistent reasoning paradox of intelligence and optimal trust in AI: The power of 'I don't know'. CoRR Alexander Bastounis, Paolo Campodonico, Mihaela van der Schaar, Ben Adcock, Anders C. Hansen
2024	A*	`conf`	Position: Why Tabular Foundation Models Should Be a Research Priority. ICML Boris van Breugel, Mihaela van der Schaar
2024	A*	`conf`	Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner. NeurIPS Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
2024	J	`jnl`	Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner. CoRR Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
2024	J	`jnl`	Quantifying perturbation impacts for large language models. CoRR Paulius Rauba, Qiyao Wei, Mihaela van der Schaar
2024	A*	`conf`	Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL. ICLR Hao Sun, Alihan Hüyük, Mihaela van der Schaar
2024	A*	`conf`	Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise. ICML Thomas Pouplin, Alan Jeffares, Nabeel Seedat, Mihaela van der Schaar
2024	J	`jnl`	Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise. CoRR Thomas Pouplin, Alan Jeffares, Nabeel Seedat, Mihaela van der Schaar
2024	J	`jnl`	Retrieval-Augmented Thought Process as Sequential Decision Making. CoRR Thomas Pouplin, Hao Sun, Samuel Holt, Mihaela van der Schaar
2024	J	`jnl`	Risk-Sensitive Diffusion: Learning the Underlying Distribution from Noisy Samples. CoRR Yangming Li, Max Ruiz Luyten, Mihaela van der Schaar
2024	A*	`conf`	Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments. NeurIPS Paulius Rauba, Nabeel Seedat, Krzysztof Kacprzyk, Mihaela van der Schaar
2024	J	`jnl`	Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments. CoRR Paulius Rauba, Nabeel Seedat, Krzysztof Kacprzyk, Mihaela van der Schaar
2024	A	`conf`	Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations. AISTATS Krzysztof Kacprzyk, Mihaela van der Schaar
2024	J	`jnl`	Shape Arithmetic Expressions: Advancing Scientific Discovery Beyond Closed-Form Equations. CoRR Krzysztof Kacprzyk, Mihaela van der Schaar
2024	A*	`conf`	Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models. ICLR Yangming Li, Boris van Breugel, Mihaela van der Schaar
2024	A*	`conf`	Time Series Diffusion in the Frequency Domain. ICML Jonathan Crabbé, Nicolas Huynh, Jan Stanczuk, Mihaela van der Schaar
2024	J	`jnl`	Time Series Diffusion in the Frequency Domain. CoRR Jonathan Crabbé, Nicolas Huynh, Jan Stanczuk, Mihaela van der Schaar
2024	A*	`conf`	Towards Transparent Time Series Forecasting. ICLR Krzysztof Kacprzyk, Tennison Liu, Mihaela van der Schaar
2024	J	`jnl`	U-PASS: An uncertainty-guided deep learning pipeline for automated sleep staging. Comput. Biol. Medicine Elisabeth R. M. Heremans, Nabeel Seedat, Bertien Buyse, Dries Testelmans, Mihaela van der Schaar, Maarten De Vos
2024	J	`jnl`	Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding. CoRR Nabeel Seedat, Caterina Tozzi, Andrea Hita Ardiaca, Mihaela van der Schaar, James Weatherall, Adam Taylor
2024	A	`conf`	Unveiling the Power of Sparse Neural Networks for Feature Selection. ECAI Zahra Atashgahi, Tennison Liu, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu, Mihaela van der Schaar
2024	J	`jnl`	Unveiling the Power of Sparse Neural Networks for Feature Selection. CoRR Zahra Atashgahi, Tennison Liu, Mykola Pechenizkiy, Raymond N. J. Veldhuis, Decebal Constantin Mocanu, Mihaela van der Schaar
2024	J	`jnl`	When is Off-Policy Evaluation (Reward Modeling) Useful in Contextual Bandits? A Data-Centric Perspective. J. Data-centric Mach. Learn. Res. Hao Sun, Alex James Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar
2024	J	`jnl`	Why Tabular Foundation Models Should Be a Research Priority. CoRR Boris van Breugel, Mihaela van der Schaar
2024	J	`jnl`	Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers. CoRR Alicia Curth, Alan Jeffares, Mihaela van der Schaar
2024	J	`jnl`	You can't handle the (dirty) truth: Data-centric Insights Improve Pseudo-Labeling. J. Data-centric Mach. Learn. Res. Nabeel Seedat, Nicolas Huynh, Fergus Imrie, Mihaela van der Schaar
2024	J	`jnl`	You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling. CoRR Nabeel Seedat, Nicolas Huynh, Fergus Imrie, Mihaela van der Schaar
2023	J	`jnl`	A Foundational Framework and Methodology for Personalized Early and Timely Diagnosis. CoRR Tim Schubert, Richard W. Peck, Alexander Gimson, Camelia Davtyan, Mihaela van der Schaar
2023	J	`jnl`	A Neural Framework for Generalized Causal Sensitivity Analysis. CoRR Dennis Frauen, Fergus Imrie, Alicia Curth, Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar
2023	A*	`conf`	A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning. NeurIPS Alicia Curth, Alan Jeffares, Mihaela van der Schaar
2023	J	`jnl`	A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning. CoRR Alicia Curth, Alan Jeffares, Mihaela van der Schaar
2023	A*	`conf`	Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples. NeurIPS Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
2023	J	`jnl`	Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples. CoRR Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
2023	A*	`conf`	Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time. ICML Toon Vanderschueren, Alicia Curth, Wouter Verbeke, Mihaela van der Schaar
2023	J	`jnl`	Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time. CoRR Toon Vanderschueren, Alicia Curth, Wouter Verbeke, Mihaela van der Schaar
2023	A*	`conf`	Active Observing in Continuous-time Control. NeurIPS Samuel Holt, Alihan Hüyük, Mihaela van der Schaar
2023	A*	`conf`	Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions. ICML Alicia Curth, Alihan Hüyük, Mihaela van der Schaar
2023	A*	`conf`	AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems. NeurIPS Jeroen Berrevoets, Daniel Jarrett, Alex J. Chan, Mihaela van der Schaar
2023	J	`jnl`	Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Data. CoRR Boris van Breugel, Mihaela van der Schaar
2023	A*	`conf`	Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data. NeurIPS Boris van Breugel, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2023	J	`jnl`	Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data. CoRR Boris van Breugel, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2023	J	`jnl`	Causal Deep Learning. CoRR Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	Clairvoyance: A Pipeline Toolkit for Medical Time Series. CoRR Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar
2023	—	`ed.`	Conference on Causal Learning and Reasoning, CLeaR 2023, 11-14 April 2023, Amazon Development Center, Tübingen, Germany, April 11-14, 2023. CLeaR Mihaela van der Schaar, Cheng Zhang, Dominik Janzing
2023	J	`jnl`	Conservative Policy Construction Using Variational Autoencoders for Logged Data With Missing Values. IEEE Trans. Neural Networks Learn. Syst. Mahed Abroshan, Kai Hou Yip, Cem Tekin, Mihaela van der Schaar
2023	J	`jnl`	Curated LLM: Synergy of LLMs and Data Curation for tabular augmentation in ultra low-data regimes. CoRR Nabeel Seedat, Nicolas Huynh, Boris van Breugel, Mihaela van der Schaar
2023	A*	`conf`	D-CIPHER: Discovery of Closed-form Partial Differential Equations. NeurIPS Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	DMLR: Data-centric Machine Learning Research - Past, Present and Future. CoRR Luis Oala, Manil Maskey, Lilith Bat-Leah, Alicia Parrish, Nezihe Merve Gürel, Tzu-Sheng Kuo, Yang Liu, Rotem Dror, Danilo Brajovic, Xiaozhe Yao, Max Bartolo, William Gaviria Rojas, Ryan Hileman, Rainier Aliment, Michael W. Mahoney, Meg Risdal, Matthew Lease, Wojciech Samek, Debojyoti Dutta, Curtis G. Northcutt, Cody Coleman, Braden Hancock, Bernard Koch, Girmaw Abebe Tadesse, Bojan Karlas, Ahmed M. Alaa, Adji Bousso Dieng, Natasha F. Noy, Vijay Janapa Reddi, James Zou, Praveen K. Paritosh, Mihaela van der Schaar, Kurt Bollacker, Lora Aroyo, Ce Zhang, Joaquin Vanschoren, Isabelle Guyon, Peter Mattson
2023	J	`jnl`	Data-Driven Online Recommender Systems With Costly Information Acquisition. IEEE Trans. Serv. Comput. Onur Atan, Saeed Ghoorchian, Setareh Maghsudi, Mihaela van der Schaar
2023	A*	`conf`	Deep Generative Symbolic Regression. ICLR Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar
2023	A*	`conf`	Differentiable and Transportable Structure Learning. ICML Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2023	J	`jnl`	Do Diffusion Models Suffer Error Propagation? Theoretical Analysis and Consistency Regularization. CoRR Yangming Li, Zhaozhi Qian, Mihaela van der Schaar
2023	A*	`conf`	Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance. NeurIPS Jonathan Crabbé, Mihaela van der Schaar
2023	J	`jnl`	Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance. CoRR Jonathan Crabbé, Mihaela van der Schaar
2023	J	`jnl`	Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. CoRR Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
2023	A*	`conf`	GOGGLE: Generative Modelling for Tabular Data by Learning Relational Structure. ICLR Tennison Liu, Zhaozhi Qian, Jeroen Berrevoets, Mihaela van der Schaar
2023	A	`conf`	Improving Adaptive Conformal Prediction Using Self-Supervised Learning. AISTATS Nabeel Seedat, Alan Jeffares, Fergus Imrie, Mihaela van der Schaar
2023	J	`jnl`	Improving Adaptive Conformal Prediction Using Self-Supervised Learning. CoRR Nabeel Seedat, Alan Jeffares, Fergus Imrie, Mihaela van der Schaar
2023	A*	`conf`	In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation. ICML Alicia Curth, Mihaela van der Schaar
2023	J	`jnl`	In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation. CoRR Alicia Curth, Mihaela van der Schaar
2023	J	`jnl`	Interpretable Medical Diagnostics with Structured Data Extraction by Large Language Models. CoRR Aleksa Bisercic, Mladen Nikolic, Mihaela van der Schaar, Boris Delibasic, Pietro Liò, Andrija Petrovic
2023	J	`jnl`	Invariant Causal Imitation Learning for Generalizable Policies. CoRR Ioana Bica, Daniel Jarrett, Mihaela van der Schaar
2023	J	`jnl`	Inverse Decision Modeling: Learning Interpretable Representations of Behavior. CoRR Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
2023	A*	`conf`	Joint Training of Deep Ensembles Fails Due to Learner Collusion. NeurIPS Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar
2023	J	`jnl`	Joint Training of Deep Ensembles Fails Due to Learner Collusion. CoRR Alan Jeffares, Tennison Liu, Jonathan Crabbé, Mihaela van der Schaar
2023	J	`jnl`	L2MAC: Large Language Model Automatic Computer for Unbounded Code Generation. CoRR Samuel Holt, Max Ruiz Luyten, Mihaela van der Schaar
2023	A*	`conf`	Learning Representations without Compositional Assumptions. ICML Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	Learning Representations without Compositional Assumptions. CoRR Tennison Liu, Jeroen Berrevoets, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	Learning machines for health and beyond. CoRR Mahed Abroshan, Oscar Giles, Sam F. Greenbury, Jack Roberts, Mihaela van der Schaar, Jannetta S. Steyn, Alan Wilson, May Yong
2023	J	`jnl`	Machine Learning with Requirements: a Manifesto. CoRR Eleonora Giunchiglia, Fergus Imrie, Mihaela van der Schaar, Thomas Lukasiewicz
2023	A	`conf`	Membership Inference Attacks against Synthetic Data through Overfitting Detection. AISTATS Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	Membership Inference Attacks against Synthetic Data through Overfitting Detection. CoRR Boris van Breugel, Hao Sun, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	Multiple stakeholders drive diverse interpretability requirements for machine learning in healthcare. Nat. Mac. Intell. Fergus Imrie, Robert Davis, Mihaela van der Schaar
2023	A	`conf`	Neural Laplace Control for Continuous-time Delayed Systems. AISTATS Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar
2023	J	`jnl`	Neural Laplace Control for Continuous-time Delayed Systems. CoRR Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela van der Schaar
2023	J	`jnl`	Online Decision Mediation. CoRR Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
2023	J	`jnl`	Optimising Human-AI Collaboration by Learning Convincing Explanations. CoRR Alex J. Chan, Alihan Hüyük, Mihaela van der Schaar
2023	J	`jnl`	Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL. CoRR Hao Sun, Alihan Hüyük, Mihaela van der Schaar
2023	J	`jnl`	Redefining Digital Health Interfaces with Large Language Models. CoRR Fergus Imrie, Paulius Rauba, Mihaela van der Schaar
2023	A*	`conf`	Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark. NeurIPS Lasse Hansen, Nabeel Seedat, Mihaela van der Schaar, Andrija Petrovic
2023	J	`jnl`	Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark. CoRR Lasse Hansen, Nabeel Seedat, Mihaela van der Schaar, Andrija Petrovic
2023	A*	`conf`	Risk-Averse Active Sensing for Timely Outcome Prediction under Cost Pressure. NeurIPS Yuchao Qin, Mihaela van der Schaar, Changhee Lee
2023	J	`jnl`	Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge. ACM Trans. Comput. Heal. Trent Kyono, Ioana Bica, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models. CoRR Yangming Li, Boris van Breugel, Mihaela van der Schaar
2023	A	`conf`	SurvivalGAN: Generating Time-to-Event Data for Survival Analysis. AISTATS Alexander Norcliffe, Bogdan Cebere, Fergus Imrie, Pietro Liò, Mihaela van der Schaar
2023	J	`jnl`	SurvivalGAN: Generating Time-to-Event Data for Survival Analysis. CoRR Alexander Norcliffe, Bogdan Cebere, Fergus Imrie, Pietro Liò, Mihaela van der Schaar
2023	A*	`conf`	Synthcity: a benchmark framework for diverse use cases of tabular synthetic data. NeurIPS Zhaozhi Qian, Robert Davis, Mihaela van der Schaar
2023	J	`jnl`	Synthcity: facilitating innovative use cases of synthetic data in different data modalities. CoRR Zhaozhi Qian, Bogdan-Constantin Cebere, Mihaela van der Schaar
2023	A*	`conf`	Synthetic Data, Real Errors: How (Not) to Publish and Use Synthetic Data. ICML Boris van Breugel, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	Synthetic data, real errors: how (not) to publish and use synthetic data. CoRR Boris van Breugel, Zhaozhi Qian, Mihaela van der Schaar
2023	A	`conf`	T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression. AISTATS Yuchao Qin, Mihaela van der Schaar, Changhee Lee
2023	J	`jnl`	T-Phenotype: Discovering Phenotypes of Predictive Temporal Patterns in Disease Progression. CoRR Yuchao Qin, Mihaela van der Schaar, Changhee Lee
2023	A*	`conf`	TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization. ICLR Alan Jeffares, Tennison Liu, Jonathan Crabbé, Fergus Imrie, Mihaela van der Schaar
2023	J	`jnl`	TANGOS: Regularizing Tabular Neural Networks through Gradient Orthogonalization and Specialization. CoRR Alan Jeffares, Tennison Liu, Jonathan Crabbé, Fergus Imrie, Mihaela van der Schaar
2023	A*	`conf`	TRIAGE: Characterizing and auditing training data for improved regression. NeurIPS Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	TRIAGE: Characterizing and auditing training data for improved regression. CoRR Nabeel Seedat, Jonathan Crabbé, Zhaozhi Qian, Mihaela van der Schaar
2023	J	`jnl`	Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces. CoRR Max Zhu, Katarzyna Kobalczyk, Andrija Petrovic, Mladen Nikolic, Mihaela van der Schaar, Boris Delibasic, Petro Liò
2023	J	`jnl`	TemporAI: Facilitating Machine Learning Innovation in Time Domain Tasks for Medicine. CoRR Evgeny S. Saveliev, Mihaela van der Schaar
2023	J	`jnl`	Time-series Generation by Contrastive Imitation. CoRR Daniel Jarrett, Ioana Bica, Mihaela van der Schaar
2023	A	`conf`	To Impute or not to Impute? Missing Data in Treatment Effect Estimation. AISTATS Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar
2023	J	`jnl`	U-PASS: an Uncertainty-guided deep learning Pipeline for Automated Sleep Staging. CoRR Elisabeth R. M. Heremans, Nabeel Seedat, Bertien Buyse, Dries Testelmans, Mihaela van der Schaar, Maarten De Vos
2023	A	`conf`	Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data. AISTATS Alicia Curth, Mihaela van der Schaar
2023	J	`jnl`	Understanding the Impact of Competing Events on Heterogeneous Treatment Effect Estimation from Time-to-Event Data. CoRR Alicia Curth, Mihaela van der Schaar
2023	A*	`conf`	What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization. NeurIPS Hao Sun, Boris van Breugel, Jonathan Crabbé, Nabeel Seedat, Mihaela van der Schaar
2023	J	`jnl`	When is Off-Policy Evaluation Useful? A Data-Centric Perspective. CoRR Hao Sun, Alex J. Chan, Nabeel Seedat, Alihan Hüyük, Mihaela van der Schaar
2023	A*	`conf`	When to Make and Break Commitments? ICLR Alihan Hüyük, Zhaozhi Qian, Mihaela van der Schaar
2022	J	`jnl`	Adaptively Identifying Patient Populations With Treatment Benefit in Clinical Trials. CoRR Alicia Curth, Alihan Hüyük, Mihaela van der Schaar
2022	J	`jnl`	AutoPrognosis 2.0: Democratizing Diagnostic and Prognostic Modeling in Healthcare with Automated Machine Learning. CoRR Fergus Imrie, Bogdan Cebere, Eoin F. McKinney, Mihaela van der Schaar
2022	A*	`conf`	Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability. NeurIPS Jonathan Crabbé, Alicia Curth, Ioana Bica, Mihaela van der Schaar
2022	J	`jnl`	Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability. CoRR Jonathan Crabbé, Alicia Curth, Ioana Bica, Mihaela van der Schaar
2022	J	`jnl`	Can we reliably automate clinical prognostic modelling? A retrospective cohort study for ICU triage prediction of in-hospital mortality of COVID-19 patients in the Netherlands. Int. J. Medical Informatics Iacopo Vagliano, Sylvia Brinkman, Ameen Abu-Hanna, M. Sesmu Arbous, Dave A. Dongelmans, Paul W. G. Elbers, Dylan W. De Lange, Mihaela van der Schaar, Nicolette F. de Keizer, Martijn C. Schut
2022	J	`jnl`	Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects. CoRR Tobias Hatt, Jeroen Berrevoets, Alicia Curth, Stefan Feuerriegel, Mihaela van der Schaar
2022	A*	`conf`	Composite Feature Selection Using Deep Ensembles. NeurIPS Fergus Imrie, Alexander Norcliffe, Pietro Lió, Mihaela van der Schaar
2022	J	`jnl`	Composite Feature Selection using Deep Ensembles. CoRR Fergus Imrie, Alexander Norcliffe, Pietro Liò, Mihaela van der Schaar
2022	A*	`conf`	Concept Activation Regions: A Generalized Framework For Concept-Based Explanations. NeurIPS Jonathan Crabbé, Mihaela van der Schaar
2022	J	`jnl`	Concept Activation Regions: A Generalized Framework For Concept-Based Explanations. CoRR Jonathan Crabbé, Mihaela van der Schaar
2022	A*	`conf`	Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations. ICML Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, Mihaela van der Schaar
2022	J	`jnl`	Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations. CoRR Nabeel Seedat, Fergus Imrie, Alexis Bellot, Zhaozhi Qian, Mihaela van der Schaar
2022	J	`jnl`	D-CIPHER: Discovery of Closed-form PDEs. CoRR Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
2022	A*	`conf`	D-CODE: Discovering Closed-form ODEs from Observed Trajectories. ICLR Zhaozhi Qian, Krzysztof Kacprzyk, Mihaela van der Schaar
2022	J	`jnl`	DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction. CoRR Yanke Li, Tobias Hatt, Ioana Bica, Mihaela van der Schaar
2022	J	`jnl`	DAUX: a Density-based Approach for Uncertainty eXplanations. CoRR Hao Sun, Boris van Breugel, Jonathan Crabbé, Nabeel Seedat, Mihaela van der Schaar
2022	J	`jnl`	DC-Check: A Data-Centric AI checklist to guide the development of reliable machine learning systems. CoRR Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2022	A*	`conf`	Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data. NeurIPS Nabeel Seedat, Jonathan Crabbé, Ioana Bica, Mihaela van der Schaar
2022	J	`jnl`	Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data. CoRR Nabeel Seedat, Jonathan Crabbé, Ioana Bica, Mihaela van der Schaar
2022	A*	`conf`	Data-SUITE: Data-centric identification of in-distribution incongruous examples. ICML Nabeel Seedat, Jonathan Crabbé, Mihaela van der Schaar
2022	J	`jnl`	Data-SUITE: Data-centric identification of in-distribution incongruous examples. CoRR Nabeel Seedat, Jonathan Crabbé, Mihaela van der Schaar
2022	J	`jnl`	Developing machine learning algorithms for dynamic estimation of progression during active surveillance for prostate cancer. npj Digit. Medicine Changhee Lee, Alexander Light, Evgeny S. Saveliev, Mihaela van der Schaar, Vincent J. Gnanapragasam
2022	J	`jnl`	Differentiable and Transportable Structure Learning. CoRR Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar
2022	J	`jnl`	Feedback Adaptive Learning for Medical and Educational Application Recommendation. IEEE Trans. Serv. Comput. Cem Tekin, Sepehr Elahi, Mihaela van der Schaar
2022	A*	`conf`	How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models. ICML Ahmed M. Alaa, Boris van Breugel, Evgeny S. Saveliev, Mihaela van der Schaar
2022	A*	`conf`	HyperImpute: Generalized Iterative Imputation with Automatic Model Selection. ICML Daniel Jarrett, Bogdan Cebere, Tennison Liu, Alicia Curth, Mihaela van der Schaar
2022	J	`jnl`	HyperImpute: Generalized Iterative Imputation with Automatic Model Selection. CoRR Daniel Jarrett, Bogdan Cebere, Tennison Liu, Alicia Curth, Mihaela van der Schaar
2022	A	`conf`	Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects. AISTATS Yao Zhang, Jeroen Berrevoets, Mihaela van der Schaar
2022	A*	`conf`	Inferring Lexicographically-Ordered Rewards from Preferences. AAAI Alihan Hüyük, William R. Zame, Mihaela van der Schaar
2022	J	`jnl`	Inferring Lexicographically-Ordered Rewards from Preferences. CoRR Alihan Hüyük, William R. Zame, Mihaela van der Schaar
2022	—	`ed.`	International Conference on Automated Machine Learning, AutoML 2022, 25-27 July 2022, Johns Hopkins University, Baltimore, MD, USA. AutoML Isabelle Guyon, Marius Lindauer, Mihaela van der Schaar, Frank Hutter, Roman Garnett
2022	A*	`conf`	Inverse Contextual Bandits: Learning How Behavior Evolves over Time. ICML Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
2022	A*	`conf`	Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies. ICLR Alex J. Chan, Alicia Curth, Mihaela van der Schaar
2022	J	`jnl`	Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies. CoRR Alex J. Chan, Alicia Curth, Mihaela van der Schaar
2022	A*	`conf`	Label-Free Explainability for Unsupervised Models. ICML Jonathan Crabbé, Mihaela van der Schaar
2022	J	`jnl`	Label-Free Explainability for Unsupervised Models. CoRR Jonathan Crabbé, Mihaela van der Schaar
2022	J	`jnl`	MARS: Assisting Human with Information Processing Tasks Using Machine Learning. ACM Trans. Comput. Heal. Cong Shen, Zhaozhi Qian, Alihan Hüyük, Mihaela van der Schaar
2022	C	`conf`	Machine Learning for Medicine and Healthcare. ICPRAM Mihaela van der Schaar
2022	J	`jnl`	Navigating causal deep learning. CoRR Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela van der Schaar
2022	A*	`conf`	Neural Laplace: Learning diverse classes of differential equations in the Laplace domain. ICML Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar
2022	J	`jnl`	Neural Laplace: Learning diverse classes of differential equations in the Laplace domain. CoRR Samuel Holt, Zhaozhi Qian, Mihaela van der Schaar
2022	A*	`conf`	Neural graphical modelling in continuous-time: consistency guarantees and algorithms. ICLR Alexis Bellot, Kim Branson, Mihaela van der Schaar
2022	A*	`conf`	Online Decision Mediation. NeurIPS Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
2022	A*	`conf`	POETREE: Interpretable Policy Learning with Adaptive Decision Trees. ICLR Alizée Pace, Alex J. Chan, Mihaela van der Schaar
2022	J	`jnl`	POETREE: Interpretable Policy Learning with Adaptive Decision Trees. CoRR Alizée Pace, Alex J. Chan, Mihaela van der Schaar
2022	J	`jnl`	Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes. CoRR Tennison Liu, Alex J. Chan, Boris van Breugel, Mihaela van der Schaar
2022	A*	`conf`	Self-Supervision Enhanced Feature Selection with Correlated Gates. ICLR Changhee Lee, Fergus Imrie, Mihaela van der Schaar
2022	A*	`conf`	Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning. NeurIPS Alex J. Chan, Mihaela van der Schaar
2022	J	`jnl`	Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning. CoRR Alex J. Chan, Mihaela van der Schaar
2022	J	`jnl`	To Impute or not to Impute? - Missing Data in Treatment Effect Estimation. CoRR Jeroen Berrevoets, Fergus Imrie, Trent Kyono, James Jordon, Mihaela van der Schaar
2022	A*	`conf`	Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation. NeurIPS Ioana Bica, Mihaela van der Schaar
2022	J	`jnl`	Transfer Learning on Heterogeneous Feature Spaces for Treatment Effects Estimation. CoRR Ioana Bica, Mihaela van der Schaar
2021	A	`conf`	A Variational Information Bottleneck Approach to Multi-Omics Data Integration. AISTATS Changhee Lee, Mihaela van der Schaar
2021	J	`jnl`	A Variational Information Bottleneck Approach to Multi-Omics Data Integration. CoRR Changhee Lee, Mihaela van der Schaar
2021	A	`conf`	A kernel two-sample test with selection bias. UAI Alexis Bellot, Mihaela van der Schaar
2021	A	`conf`	Application of kernel hypothesis testing on set-valued data. UAI Alexis Bellot, Mihaela van der Schaar
2021	Misc	`conf`	Building next-generation healthcare systems using distributed machine learning. ICDCN Mihaela van der Schaar
2021	J	`jnl`	CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19. Mach. Learn. Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
2021	A*	`conf`	Clairvoyance: A Pipeline Toolkit for Medical Time Series. ICLR Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar
2021	A*	`conf`	Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation. NeurIPS Yuchao Qin, Fergus Imrie, Alihan Hüyük, Daniel Jarrett, Alexander Gimson, Mihaela van der Schaar
2021	A*	`conf`	Conformal Time-series Forecasting. NeurIPS Kamile Stankeviciute, Ahmed M. Alaa, Mihaela van der Schaar
2021	J	`jnl`	Conservative Policy Construction Using Variational Autoencoders for Logged Data with Missing Values. CoRR Mahed Abroshan, Kai Hou Yip, Cem Tekin, Mihaela van der Schaar
2021	J	`jnl`	Consistency of mechanistic causal discovery in continuous-time using Neural ODEs. CoRR Alexis Bellot, Kim Branson, Mihaela van der Schaar
2021	A*	`conf`	DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks. NeurIPS Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar
2021	J	`jnl`	DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks. CoRR Boris van Breugel, Trent Kyono, Jeroen Berrevoets, Mihaela van der Schaar
2021	J	`jnl`	Deconfounded Score Method: Scoring DAGs with Dense Unobserved Confounding. CoRR Alexis Bellot, Mihaela van der Schaar
2021	J	`jnl`	Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time. CoRR Jeroen Berrevoets, Alicia Curth, Ioana Bica, Eoin F. McKinney, Mihaela van der Schaar
2021	J	`jnl`	Doing Great at Estimating CATE? On the Neglected Assumptions in Benchmark Comparisons of Treatment Effect Estimators. CoRR Alicia Curth, Mihaela van der Schaar
2021	J	`jnl`	Dynamic Stochastic Demand Response With Energy Storage. IEEE Trans. Smart Grid Yuanzhang Xiao, Mihaela van der Schaar
2021	A*	`conf`	Estimating Multi-cause Treatment Effects via Single-cause Perturbation. NeurIPS Zhaozhi Qian, Alicia Curth, Mihaela van der Schaar
2021	A*	`conf`	Explaining Latent Representations with a Corpus of Examples. NeurIPS Jonathan Crabbé, Zhaozhi Qian, Fergus Imrie, Mihaela van der Schaar
2021	J	`jnl`	Explaining Latent Representations with a Corpus of Examples. CoRR Jonathan Crabbé, Zhaozhi Qian, Fergus Imrie, Mihaela van der Schaar
2021	A*	`conf`	Explaining Time Series Predictions with Dynamic Masks. ICML Jonathan Crabbé, Mihaela van der Schaar
2021	J	`jnl`	Explaining Time Series Predictions with Dynamic Masks. CoRR Jonathan Crabbé, Mihaela van der Schaar
2021	A*	`conf`	Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. ICLR Alihan Hüyük, Daniel Jarrett, Cem Tekin, Mihaela van der Schaar
2021	J	`jnl`	Exploiting Causal Structure for Robust Model Selection in Unsupervised Domain Adaptation. IEEE Trans. Artif. Intell. Trent Kyono, Mihaela van der Schaar
2021	A*	`conf`	Generative Time-series Modeling with Fourier Flows. ICLR Ahmed M. Alaa, Alex James Chan, Mihaela van der Schaar
2021	J	`jnl`	How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models. CoRR Ahmed M. Alaa, Boris van Breugel, Evgeny Saveliev, Mihaela van der Schaar
2021	J	`jnl`	How artificial intelligence and machine learning can help healthcare systems respond to COVID-19. Mach. Learn. Mihaela van der Schaar, Ahmed M. Alaa, R. Andres Floto, Alexander Gimson, Stefan Scholtes, Angela M. Wood, Eoin F. McKinney, Daniel Jarrett, Pietro Lió, Ari Ercole
2021	J	`jnl`	Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects. CoRR Yao Zhang, Jeroen Berrevoets, Mihaela van der Schaar
2021	A*	`conf`	Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression. NeurIPS Zhaozhi Qian, William R. Zame, Lucas M. Fleuren, Paul W. G. Elbers, Mihaela van der Schaar
2021	J	`jnl`	Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression. CoRR Zhaozhi Qian, William R. Zame, Lucas M. Fleuren, Paul W. G. Elbers, Mihaela van der Schaar
2021	A*	`conf`	Invariant Causal Imitation Learning for Generalizable Policies. NeurIPS Ioana Bica, Daniel Jarrett, Mihaela van der Schaar
2021	J	`jnl`	Inverse Contextual Bandits: Learning How Behavior Evolves over Time. CoRR Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
2021	A*	`conf`	Inverse Decision Modeling: Learning Interpretable Representations of Behavior. ICML Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
2021	A*	`conf`	Learning "What-if" Explanations for Sequential Decision-Making. ICLR Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
2021	A	`conf`	Learning Matching Representations for Individualized Organ Transplantation Allocation. AISTATS Can Xu, Ahmed M. Alaa, Ioana Bica, Brent D. Ershoff, Maxime Cannesson, Mihaela van der Schaar
2021	J	`jnl`	Learning Matching Representations for Individualized Organ Transplantation Allocation. CoRR Can Xu, Ahmed M. Alaa, Ioana Bica, Brent D. Ershoff, Maxime Cannesson, Mihaela van der Schaar
2021	A*	`conf`	Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis. ICML Jeroen Berrevoets, Ahmed M. Alaa, Zhaozhi Qian, James Jordon, Alexander E. S. Gimson, Mihaela van der Schaar
2021	A*	`conf`	MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms. NeurIPS Trent Kyono, Yao Zhang, Alexis Bellot, Mihaela van der Schaar
2021	J	`jnl`	MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms. CoRR Trent Kyono, Yao Zhang, Alexis Bellot, Mihaela van der Schaar
2021	J	`jnl`	Machine learning to guide the use of adjuvant therapies for breast cancer. Nat. Mach. Intell. Ahmed M. Alaa, Deepti Gurdasani, Adrian L. Harris, Jem Rashbass, Mihaela van der Schaar
2021	J	`jnl`	Model-Attentive Ensemble Learning for Sequence Modeling. CoRR Victor D. Bourgin, Ioana Bica, Mihaela van der Schaar
2021	A	`conf`	Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms. AISTATS Alicia Curth, Mihaela van der Schaar
2021	J	`jnl`	Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms. CoRR Alicia Curth, Mihaela van der Schaar
2021	A*	`conf`	On Inductive Biases for Heterogeneous Treatment Effect Estimation. NeurIPS Alicia Curth, Mihaela van der Schaar
2021	J	`jnl`	On Inductive Biases for Heterogeneous Treatment Effect Estimation. CoRR Alicia Curth, Mihaela van der Schaar
2021	J	`jnl`	Outcome-Oriented Deep Temporal Phenotyping of Disease Progression. IEEE Trans. Biomed. Eng. Changhee Lee, Jem Rashbass, Mihaela van der Schaar
2021	J	`jnl`	Personalized Education in the AI Era: What to Expect Next? CoRR Setareh Maghsudi, Andrew S. Lan, Jie Xu, Mihaela van der Schaar
2021	J	`jnl`	Personalized Education in the Artificial Intelligence Era: What to Expect Next. IEEE Signal Process. Mag. Setareh Maghsudi, Andrew S. Lan, Jie Xu, Mihaela van der Schaar
2021	A*	`conf`	Policy Analysis using Synthetic Controls in Continuous-Time. ICML Alexis Bellot, Mihaela van der Schaar
2021	J	`jnl`	Policy Analysis using Synthetic Controls in Continuous-Time. CoRR Alexis Bellot, Mihaela van der Schaar
2021	—	`conf`	Preface: AAAI Spring Symposium on Survival Prediction - Algorithms, Challenges, and Applications 2021. SPACA Russell Greiner, Neeraj Kumar, Thomas Alexander Gerds, Mihaela van der Schaar
2021	—	`ed.`	Proceedings of AAAI Symposium on Survival Prediction - Algorithms, Challenges and Applications, SPACA 2021, Stanford University, Palo Alto, CA, USA, March 22-24, 2021. SPACA Russell Greiner, Neeraj Kumar, Thomas Alexander Gerds, Mihaela van der Schaar
2021	—	`conf`	Really Doing Great at Estimating CATE? A Critical Look at ML Benchmarking Practices in Treatment Effect Estimation. NeurIPS Datasets and Benchmarks Alicia Curth, David Svensson, James Weatherall, Mihaela van der Schaar
2021	J	`jnl`	Risk-Aware Multi-Armed Bandits With Refined Upper Confidence Bounds. IEEE Signal Process. Lett. Xingchi Liu, Mahsa Derakhshani, Sangarapillai Lambotharan, Mihaela van der Schaar
2021	A	`conf`	SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups. AISTATS Hyun-Suk Lee, Cong Shen, William R. Zame, Jang-Won Lee, Mihaela van der Schaar
2021	J	`jnl`	SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups. CoRR Hyun-Suk Lee, Cong Shen, William R. Zame, Jang-Won Lee, Mihaela van der Schaar
2021	A*	`conf`	Scalable Bayesian Inverse Reinforcement Learning. ICLR Alex James Chan, Mihaela van der Schaar
2021	J	`jnl`	Scalable Bayesian Inverse Reinforcement Learning. CoRR Alex J. Chan, Mihaela van der Schaar
2021	J	`jnl`	Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge. CoRR Trent Kyono, Ioana Bica, Zhaozhi Qian, Mihaela van der Schaar
2021	A*	`conf`	SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data. NeurIPS Alicia Curth, Changhee Lee, Mihaela van der Schaar
2021	J	`jnl`	SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data. CoRR Alicia Curth, Changhee Lee, Mihaela van der Schaar
2021	A*	`conf`	SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes. NeurIPS Zhaozhi Qian, Yao Zhang, Ioana Bica, Angela M. Wood, Mihaela van der Schaar
2021	—	`conf`	The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation. NeurIPS Datasets and Benchmarks Alex J. Chan, Ioana Bica, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
2021	J	`jnl`	The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation. CoRR Alex J. Chan, Ioana Bica, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
2021	A*	`conf`	Time-series Generation by Contrastive Imitation. NeurIPS Daniel Jarrett, Ioana Bica, Mihaela van der Schaar
2021	J	`jnl`	Triage of 2D Mammographic Images Using Multi-view Multi-task Convolutional Neural Networks. ACM Trans. Comput. Heal. Trent Kyono, Fiona J. Gilbert, Mihaela van der Schaar
2020	J	`jnl`	A Non-Stationary Bandit-Learning Approach to Energy-Efficient Femto-Caching With Rateless-Coded Transmission. IEEE Trans. Wirel. Commun. Setareh Maghsudi, Mihaela van der Schaar
2020	J	`jnl`	A Non-Stationary Bandit-Learning Approach to Energy-Efficient Femto-Caching with Rateless-Coded Transmission. CoRR Setareh Maghsudi, Mihaela van der Schaar
2020	J	`jnl`	Anonymization Through Data Synthesis Using Generative Adversarial Networks (ADS-GAN). IEEE J. Biomed. Health Informatics Jinsung Yoon, Lydia N. Drumright, Mihaela van der Schaar
2020	—	`conf`	AutoML and Interpretability: Powering the Machine Learning Revolution in Healthcare. FODS Mihaela van der Schaar
2020	J	`jnl`	AutoNCP: Automated pipelines for accurate confidence intervals. CoRR Yao Zhang, William R. Zame, Mihaela van der Schaar
2020	J	`jnl`	Batch Inverse Reinforcement Learning Using Counterfactuals for Understanding Decision Making. CoRR Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
2020	A*	`conf`	CASTLE: Regularization via Auxiliary Causal Graph Discovery. NeurIPS Trent Kyono, Yao Zhang, Mihaela van der Schaar
2020	J	`jnl`	CASTLE: Regularization via Auxiliary Causal Graph Discovery. CoRR Trent Kyono, Yao Zhang, Mihaela van der Schaar
2020	J	`jnl`	CPAS: the UK's National Machine Learning-based Hospital Capacity Planning System for COVID-19. CoRR Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
2020	A	`conf`	Contextual Constrained Learning for Dose-Finding Clinical Trials. AISTATS Hyun-Suk Lee, Cong Shen, James Jordon, Mihaela van der Schaar
2020	J	`jnl`	Contextual Constrained Learning for Dose-Finding Clinical Trials. CoRR Hyun-Suk Lee, Cong Shen, James Jordon, Mihaela van der Schaar
2020	J	`jnl`	Deep Generative Models for 3D Linker Design. J. Chem. Inf. Model. Fergus Imrie, Anthony R. Bradley, Mihaela van der Schaar, Charlotte M. Deane
2020	A*	`conf`	Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions. ICML Ahmed M. Alaa, Mihaela van der Schaar
2020	J	`jnl`	Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions. CoRR Ahmed M. Alaa, Mihaela van der Schaar
2020	J	`jnl`	Dynamic Matching and Allocation of Tasks. ACM Trans. Economics and Comput. Kartik Ahuja, Mihaela van der Schaar
2020	J	`jnl`	Dynamic Prediction in Clinical Survival Analysis Using Temporal Convolutional Networks. IEEE J. Biomed. Health Informatics Daniel Jarrett, Jinsung Yoon, Mihaela van der Schaar
2020	J	`jnl`	Dynamic network formation with foresighted agents. Int. J. Game Theory Yangbo Song, Mihaela van der Schaar
2020	J	`jnl`	Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data. IEEE Trans. Biomed. Eng. Changhee Lee, Jinsung Yoon, Mihaela van der Schaar
2020	J	`jnl`	Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations. CoRR Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar
2020	A*	`conf`	Estimating counterfactual treatment outcomes over time through adversarially balanced representations. ICLR Ioana Bica, Ahmed M. Alaa, James Jordon, Mihaela van der Schaar
2020	A*	`conf`	Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks. NeurIPS Ioana Bica, James Jordon, Mihaela van der Schaar
2020	J	`jnl`	Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks. CoRR Ioana Bica, James Jordon, Mihaela van der Schaar
2020	J	`jnl`	Flexible Modelling of Longitudinal Medical Data: A Bayesian Nonparametric Approach. ACM Trans. Comput. Heal. Alexis Bellot, Mihaela van der Schaar
2020	A*	`conf`	Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions. ICML Ahmed M. Alaa, Mihaela van der Schaar
2020	J	`jnl`	Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions. CoRR Ahmed M. Alaa, Mihaela van der Schaar
2020	J	`jnl`	Generalization and Invariances in the Presence of Unobserved Confounding. CoRR Alexis Bellot, Mihaela van der Schaar
2020	A*	`conf`	Gradient Regularized V-Learning for Dynamic Treatment Regimes. NeurIPS Yao Zhang, Mihaela van der Schaar
2020	J	`jnl`	Guest Editorial: Introduction to the Special Section on Economics of Modern Networks. IEEE Trans. Netw. Sci. Eng. Jianwei Huang, Costas Courcoubetis, Mihaela van der Schaar, Biying Shou, Jean C. Walrand
2020	J	`jnl`	Hide-and-Seek Privacy Challenge. CoRR James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar
2020	—	`conf`	Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification. NeurIPS (Competition and Demos) James Jordon, Daniel Jarrett, Evgeny Saveliev, Jinsung Yoon, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar
2020	A*	`conf`	Inverse Active Sensing: Modeling and Understanding Timely Decision-Making. ICML Daniel Jarrett, Mihaela van der Schaar
2020	J	`jnl`	Inverse Active Sensing: Modeling and Understanding Timely Decision-Making. CoRR Daniel Jarrett, Mihaela van der Schaar
2020	A	`conf`	Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes. AISTATS Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Mihaela van der Schaar, Jem Rashbass
2020	J	`jnl`	Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes. CoRR Zhaozhi Qian, Ahmed M. Alaa, Alexis Bellot, Jem Rashbass, Mihaela van der Schaar
2020	A	`conf`	Learning Overlapping Representations for the Estimation of Individualized Treatment Effects. AISTATS Yao Zhang, Alexis Bellot, Mihaela van der Schaar
2020	J	`jnl`	Learning Overlapping Representations for the Estimation of Individualized Treatment Effects. CoRR Yao Zhang, Alexis Bellot, Mihaela van der Schaar
2020	A*	`conf`	Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints. ICML Cong Shen, Zhiyang Wang, Sofia S. Villar, Mihaela van der Schaar
2020	J	`jnl`	Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints. CoRR Cong Shen, Zhiyang Wang, Sofia S. Villar, Mihaela van der Schaar
2020	A*	`conf`	Learning outside the Black-Box: The pursuit of interpretable models. NeurIPS Jonathan Crabbé, Yao Zhang, William R. Zame, Mihaela van der Schaar
2020	J	`jnl`	Learning outside the Black-Box: The pursuit of interpretable models. CoRR Jonathan Crabbé, Yao Zhang, William R. Zame, Mihaela van der Schaar
2020	A*	`conf`	OrganITE: Optimal transplant donor organ offering using an individual treatment effect. NeurIPS Jeroen Berrevoets, James Jordon, Ioana Bica, Alexander Gimson, Mihaela van der Schaar
2020	A*	`conf`	Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification. NeurIPS Hyun-Suk Lee, Yao Zhang, William R. Zame, Cong Shen, Jang-Won Lee, Mihaela van der Schaar
2020	J	`jnl`	Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification. CoRR Hyun-Suk Lee, Yao Zhang, William R. Zame, Cong Shen, Jang-Won Lee, Mihaela van der Schaar
2020	A	`conf`	Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning. AISTATS Yao Zhang, Daniel Jarrett, Mihaela van der Schaar
2020	J	`jnl`	Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning. CoRR Yao Zhang, Daniel Jarrett, Mihaela van der Schaar
2020	A*	`conf`	Strictly Batch Imitation Learning by Energy-based Distribution Matching. NeurIPS Daniel Jarrett, Ioana Bica, Mihaela van der Schaar
2020	J	`jnl`	Strictly Batch Imitation Learning by Energy-based Distribution Matching. CoRR Daniel Jarrett, Ioana Bica, Mihaela van der Schaar
2020	J	`jnl`	Synthetic Data: Opening the data floodgates to enable faster, more directed development of machine learning methods. CoRR James Jordon, Alan Wilson, Mihaela van der Schaar
2020	A*	`conf`	Target-Embedding Autoencoders for Supervised Representation Learning. ICLR Daniel Jarrett, Mihaela van der Schaar
2020	J	`jnl`	Target-Embedding Autoencoders for Supervised Representation Learning. CoRR Daniel Jarrett, Mihaela van der Schaar
2020	A*	`conf`	Temporal Phenotyping using Deep Predictive Clustering of Disease Progression. ICML Changhee Lee, Mihaela van der Schaar
2020	J	`jnl`	Temporal Phenotyping using Deep Predictive Clustering of Disease Progression. CoRR Changhee Lee, Mihaela van der Schaar
2020	A*	`conf`	Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders. ICML Ioana Bica, Ahmed M. Alaa, Mihaela van der Schaar
2020	A*	`conf`	Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. ICML Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar
2020	J	`jnl`	Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift. CoRR Alex J. Chan, Ahmed M. Alaa, Zhaozhi Qian, Mihaela van der Schaar
2020	A*	`conf`	VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain. NeurIPS Jinsung Yoon, Yao Zhang, James Jordon, Mihaela van der Schaar
2020	A*	`conf`	When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes. NeurIPS Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
2020	J	`jnl`	When to Lift the Lockdown? Global COVID-19 Scenario Planning and Policy Effects using Compartmental Gaussian Processes. CoRR Zhaozhi Qian, Ahmed M. Alaa, Mihaela van der Schaar
2019	B	`conf`	A Bandit Learning Approach to Energy-Efficient Femto-Caching under Uncertainty. GLOBECOM Setareh Maghsudi, Mihaela van der Schaar
2019	J	`jnl`	A Bayesian Approach to Modelling Longitudinal Data in Electronic Health Records. CoRR Alexis Bellot, Mihaela van der Schaar
2019	J	`jnl`	A Hierarchical Bayesian Model for Personalized Survival Predictions. IEEE J. Biomed. Health Informatics Alexis Bellot, Mihaela van der Schaar
2019	J	`jnl`	A Non-Stationary Online Learning Approach to Mobility Management. IEEE Trans. Wirel. Commun. Yiming Zhou, Cong Shen, Mihaela van der Schaar
2019	—	`conf`	ASAC: Active Sensing using Actor-Critic models. MLHC Jinsung Yoon, James Jordon, Mihaela van der Schaar
2019	J	`jnl`	ASAC: Active Sensing using Actor-Critic models. CoRR Jinsung Yoon, James Jordon, Mihaela van der Schaar
2019	A*	`conf`	Attentive State-Space Modeling of Disease Progression. NeurIPS Ahmed M. Alaa, Mihaela van der Schaar
2019	A	`conf`	Boosting Transfer Learning with Survival Data from Heterogeneous Domains. AISTATS Alexis Bellot, Mihaela van der Schaar
2019	A*	`conf`	Conditional Independence Testing using Generative Adversarial Networks. NeurIPS Alexis Bellot, Mihaela van der Schaar
2019	J	`jnl`	Conditional Independence Testing using Generative Adversarial Networks. CoRR Alexis Bellot, Mihaela van der Schaar
2019	J	`jnl`	Constructing effective personalized policies using counterfactual inference from biased data sets with many features. Mach. Learn. Onur Atan, William R. Zame, Qiaojun Feng, Mihaela van der Schaar
2019	A*	`conf`	Demystifying Black-box Models with Symbolic Metamodels. NeurIPS Ahmed M. Alaa, Mihaela van der Schaar
2019	A*	`conf`	Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate. NeurIPS James Jordon, Jinsung Yoon, Mihaela van der Schaar
2019	J	`jnl`	Distributed Task Management in Cyber-Physical Systems: How to Cooperate Under Uncertainty? IEEE Trans. Cogn. Commun. Netw. Setareh Maghsudi, Mihaela van der Schaar
2019	J	`jnl`	Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks. IEEE Trans. Biomed. Eng. Jinsung Yoon, William R. Zame, Mihaela van der Schaar
2019	J	`jnl`	Guest Editorial Special Issue on Machine Learning in Wireless Communication - Part 2. IEEE J. Sel. Areas Commun. David Gesbert, Deniz Gündüz, Paul de Kerret, Chandra R. Murthy, Mihaela van der Schaar, Nicholas D. Sidiropoulos
2019	J	`jnl`	Guest Editorial Special Issue on Machine Learning in Wireless Communication - Part I. IEEE J. Sel. Areas Commun. David Gesbert, Deniz Gündüz, Paul de Kerret, Chandra R. Murthy, Mihaela van der Schaar, Nicholas D. Sidiropoulos
2019	—	`conf`	INVASE: Instance-wise Variable Selection using Neural Networks. ICLR (Poster) Jinsung Yoon, James Jordon, Mihaela van der Schaar
2019	J	`jnl`	Improving Model Robustness Using Causal Knowledge. CoRR Trent Kyono, Mihaela van der Schaar
2019	J	`jnl`	Incentive Design in Peer Review: Rating and Repeated Endogenous Matching. IEEE Trans. Netw. Sci. Eng. Yuanzhang Xiao, Florian Dörfler, Mihaela van der Schaar
2019	Misc	`conf`	Joint Concordance Index. ACSSC Kartik Ahuja, Mihaela van der Schaar
2019	—	`conf`	KnockoffGAN: Generating Knockoffs for Feature Selection using Generative Adversarial Networks. ICLR James Jordon, Jinsung Yoon, Mihaela van der Schaar
2019	J	`jnl`	Lifelong Bayesian Optimization. CoRR Yao Zhang, James Jordon, Ahmed M. Alaa, Mihaela van der Schaar
2019	J	`jnl`	Machine Learning in the Air. CoRR Deniz Gündüz, Paul de Kerret, Nicholas D. Sidiropoulos, David Gesbert, Chandra R. Murthy, Mihaela van der Schaar
2019	J	`jnl`	Machine Learning in the Air. IEEE J. Sel. Areas Commun. Deniz Gündüz, Paul de Kerret, Nicholas D. Sidiropoulos, David Gesbert, Chandra R. Murthy, Mihaela van der Schaar
2019	—	`conf`	Multi-view Multi-task Learning for Improving Autonomous Mammogram Diagnosis. MLHC Trent Kyono, Fiona J. Gilbert, Mihaela van der Schaar
2019	Misc	`conf`	Optimal Piecewise Approximations for Model Interpretation. ACSSC Kartik Ahuja, William R. Zame, Mihaela van der Schaar
2019	—	`conf`	PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees. ICLR (Poster) James Jordon, Jinsung Yoon, Mihaela van der Schaar
2019	J	`jnl`	Repeated Network Games with Dominant Actions and Individual Rationality. IEEE Trans. Netw. Sci. Eng. Yangbo Song, Mihaela van der Schaar
2019	A	`conf`	Sequential Patient Recruitment and Allocation for Adaptive Clinical Trials. AISTATS Onur Atan, William R. Zame, Mihaela van der Schaar
2019	A	`conf`	Temporal Quilting for Survival Analysis. AISTATS Changhee Lee, William R. Zame, Ahmed M. Alaa, Mihaela van der Schaar
2019	J	`jnl`	Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders. CoRR Ioana Bica, Ahmed M. Alaa, Mihaela van der Schaar
2019	A*	`conf`	Time-series Generative Adversarial Networks. NeurIPS Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar
2019	A*	`conf`	Validating Causal Inference Models via Influence Functions. ICML Ahmed M. Alaa, Mihaela van der Schaar
2018	J	`jnl`	A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference. J. Mach. Learn. Res. Ahmed M. Alaa, Mihaela van der Schaar
2018	J	`jnl`	A Micro-Foundation of Social Capital in Evolving Social Networks. IEEE Trans. Netw. Sci. Eng. Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
2018	—	`conf`	A Non-Stationary Online Learning Approach to Mobility Management. ICC Yiming Zhou, Cong Shen, Xiliang Luo, Mihaela van der Schaar
2018	J	`jnl`	Adaptive Clinical Trials: Exploiting Sequential Patient Recruitment and Allocation. CoRR Onur Atan, William R. Zame, Mihaela van der Schaar
2018	J	`jnl`	Adaptive Contextual Learning for Unit Commitment in Microgrids With Renewable Energy Sources. IEEE J. Sel. Top. Signal Process. Hyun-Suk Lee, Cem Tekin, Mihaela van der Schaar, Jang-Won Lee
2018	A*	`conf`	AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning. ICML Ahmed M. Alaa, Mihaela van der Schaar
2018	J	`jnl`	AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning. CoRR Ahmed M. Alaa, Mihaela van der Schaar
2018	J	`jnl`	Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms. IEEE J. Sel. Top. Signal Process. Ahmed M. Alaa, Mihaela van der Schaar
2018	—	`conf`	Boosted Trees for Risk Prognosis. MLHC Alexis Bellot, Mihaela van der Schaar
2018	J	`jnl`	Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing. IEEE/ACM Trans. Netw. Sabrina Klos, Cem Tekin, Mihaela van der Schaar, Anja Klein
2018	—	`conf`	Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks. ICLR (Poster) Jinsung Yoon, William R. Zame, Mihaela van der Schaar
2018	A*	`conf`	Deep-Treat: Learning Optimal Personalized Treatments From Observational Data Using Neural Networks. AAAI Onur Atan, James Jordon, Mihaela van der Schaar
2018	A*	`conf`	DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks. AAAI Changhee Lee, William R. Zame, Jinsung Yoon, Mihaela van der Schaar
2018	—	`ch.`	Design of a Dynamic Data-Driven System for Multispectral Video Processing. Handbook of Dynamic Data Driven Applications Systems Honglei Li, Yanzhou Liu, Kishan Sudusinghe, Jinsung Yoon, Erik Blasch, Mihaela van der Schaar, Shuvra S. Bhattacharyya
2018	—	`conf`	Disease-Atlas: Navigating Disease Trajectories using Deep Learning. MLHC Bryan Lim, Mihaela van der Schaar
2018	J	`jnl`	Disease-Atlas: Navigating Disease Trajectories with Deep Learning. CoRR Bryan Lim, Mihaela van der Schaar
2018	B	`conf`	Distributed Task Management in Cyber-Physical Systems: How to Cooperate Under Uncertainty? GLOBECOM Setareh Maghsudi, Mihaela van der Schaar
2018	J	`jnl`	Distributed Task Management in Cyber-Physical Systems: How to Cooperate under Uncertainty? CoRR Setareh Maghsudi, Mihaela van der Schaar
2018	J	`jnl`	Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning. CoRR Changhee Lee, Nicholas Mastronarde, Mihaela van der Schaar
2018	J	`jnl`	Feature Selection for Survival Analysis with Competing Risks using Deep Learning. CoRR Carl Rietschel, Jinsung Yoon, Mihaela van der Schaar
2018	J	`jnl`	Forecasting Disease Trajectories in Alzheimer's Disease Using Deep Learning. CoRR Bryan Lim, Mihaela van der Schaar
2018	J	`jnl`	Forecasting Individualized Disease Trajectories using Interpretable Deep Learning. CoRR Ahmed M. Alaa, Mihaela van der Schaar
2018	J	`jnl`	Functional Contour-following via Haptic Perception and Reinforcement Learning. IEEE Trans. Haptics Randall B. Hellman, Cem Tekin, Mihaela van der Schaar, Veronica J. Santos
2018	A*	`conf`	GAIN: Missing Data Imputation using Generative Adversarial Nets. ICML Jinsung Yoon, James Jordon, Mihaela van der Schaar
2018	J	`jnl`	GAIN: Missing Data Imputation using Generative Adversarial Nets. CoRR Jinsung Yoon, James Jordon, Mihaela van der Schaar
2018	—	`conf`	GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets. ICLR (Poster) Jinsung Yoon, James Jordon, Mihaela van der Schaar
2018	J	`jnl`	Generalized Global Bandit and Its Application in Cellular Coverage Optimization. IEEE J. Sel. Top. Signal Process. Cong Shen, Ruida Zhou, Cem Tekin, Mihaela van der Schaar
2018	J	`jnl`	Global Bandits. IEEE Trans. Neural Networks Learn. Syst. Onur Atan, Cem Tekin, Mihaela van der Schaar
2018	J	`jnl`	Learning Optimal Policies from Observational Data. CoRR Onur Atan, William R. Zame, Mihaela van der Schaar
2018	A*	`conf`	Limits of Estimating Heterogeneous Treatment Effects: Guidelines for Practical Algorithm Design. ICML Ahmed M. Alaa, Mihaela van der Schaar
2018	J	`jnl`	MAMMO: A Deep Learning Solution for Facilitating Radiologist-Machine Collaboration in Breast Cancer Diagnosis. CoRR Trent Kyono, Fiona J. Gilbert, Mihaela van der Schaar
2018	J	`jnl`	MATCH-Net: Dynamic Prediction in Survival Analysis using Convolutional Neural Networks. CoRR Daniel Jarrett, Jinsung Yoon, Mihaela van der Schaar
2018	J	`jnl`	Measuring the quality of Synthetic data for use in competitions. CoRR James Jordon, Jinsung Yoon, Mihaela van der Schaar
2018	A*	`conf`	Multitask Boosting for Survival Analysis with Competing Risks. NeurIPS Alexis Bellot, Mihaela van der Schaar
2018	J	`jnl`	Online Learning in Limit Order Book Trade Execution. IEEE Trans. Signal Process. Nima Akbarzadeh, Cem Tekin, Mihaela van der Schaar
2018	J	`jnl`	Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes. IEEE Trans. Biomed. Eng. Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
2018	J	`jnl`	Piecewise Approximations of Black Box Models for Model Interpretation. CoRR Kartik Ahuja, William R. Zame, Mihaela van der Schaar
2018	J	`jnl`	Protein Family-Specific Models Using Deep Neural Networks and Transfer Learning Improve Virtual Screening and Highlight the Need for More Data. J. Chem. Inf. Model. Fergus Imrie, Anthony R. Bradley, Mihaela van der Schaar, Charlotte M. Deane
2018	—	`conf`	RNN-SURV: A Deep Recurrent Model for Survival Analysis. ICANN (3) Eleonora Giunchiglia, Anton Nemchenko, Mihaela van der Schaar
2018	A*	`conf`	RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks. ICML Jinsung Yoon, James Jordon, Mihaela van der Schaar
2018	J	`jnl`	RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks. CoRR Jinsung Yoon, James Jordon, Mihaela van der Schaar
2018	J	`jnl`	Risk-Stratify: Confident Stratification Of Patients Based On Risk. CoRR Kartik Ahuja, Mihaela van der Schaar
2018	—	`conf`	Siamese Survival Analysis with Competing Risks. ICANN (3) Anton Nemchenko, Trent Kyono, Mihaela van der Schaar
2018	J	`jnl`	Siamese Survival Analysis with Competing Risks. CoRR Anton Nemchenko, Trent Kyono, Mihaela van der Schaar
2018	J	`jnl`	ToPs: Ensemble Learning With Trees of Predictors. IEEE Trans. Signal Process. Jinsung Yoon, William R. Zame, Mihaela van der Schaar
2018	A	`conf`	Tree-based Bayesian Mixture Model for Competing Risks. AISTATS Alexis Bellot, Mihaela van der Schaar
2018	J	`jnl`	What is Interpretable? Using Machine Learning to Design Interpretable Decision-Support Systems. CoRR Owen Lahav, Nicholas Mastronarde, Mihaela van der Schaar
2017	B	`conf`	A Learning Approach to Frequent Handover Mitigations in 3GPP Mobility Protocols. WCNC Cong Shen, Mihaela van der Schaar
2017	J	`jnl`	A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs. IEEE J. Sel. Top. Signal Process. Jie Xu, Kyeong H. Moon, Mihaela van der Schaar
2017	J	`jnl`	Actionable intelligence and online learning for semantic computing. Encycl. Semantic Comput. Robotic Intell. Cem Tekin, Mihaela van der Schaar
2017	J	`jnl`	Adaptive Ensemble Learning With Confidence Bounds. IEEE Trans. Signal Process. Cem Tekin, Jinsung Yoon, Mihaela van der Schaar
2017	—	`conf`	Bandit strategies for blindly attacking networks. ICC SaiDhiraj Amuru, R. Michael Buehrer, Mihaela van der Schaar
2017	J	`jnl`	Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes. CoRR Ahmed M. Alaa, Mihaela van der Schaar
2017	J	`jnl`	Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms. CoRR Ahmed M. Alaa, Mihaela van der Schaar
2017	J	`jnl`	Context-Aware Hierarchical Online Learning for Performance Maximization in Mobile Crowdsourcing. CoRR Sabrina Müller, Cem Tekin, Mihaela van der Schaar, Anja Klein
2017	J	`jnl`	Context-Aware Proactive Content Caching With Service Differentiation in Wireless Networks. IEEE Trans. Wirel. Commun. Sabrina Müller, Onur Atan, Mihaela van der Schaar, Anja Klein
2017	—	`conf`	DPSCREEN: Dynamic Personalized Screening. NIPS Kartik Ahuja, William R. Zame, Mihaela van der Schaar
2017	J	`jnl`	Deep Counterfactual Networks with Propensity-Dropout. CoRR Ahmed M. Alaa, Michael Weisz, Mihaela van der Schaar
2017	J	`jnl`	Discovery and Clinical Decision Support for Personalized Healthcare. IEEE J. Biomed. Health Informatics Jinsung Yoon, Camelia Davtyan, Mihaela van der Schaar
2017	J	`jnl`	Distributed Learning for Stochastic Generalized Nash Equilibrium Problems. IEEE Trans. Signal Process. Chung-Kai Yu, Mihaela van der Schaar, Ali H. Sayed
2017	J	`jnl`	Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural Networks. CoRR Jinsung Yoon, William R. Zame, Mihaela van der Schaar
2017	J	`jnl`	From Acquaintances to Friends: Homophily and Learning in Networks. IEEE J. Sel. Areas Commun. Simpson Zhang, Mihaela van der Schaar
2017	J	`jnl`	Individualized Risk Prognosis for Critical Care Patients: A Multi-task Gaussian Process Model. CoRR Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
2017	J	`jnl`	Introduction to the Issue on Signal Processing and Machine Learning. IEEE J. Sel. Top. Signal Process. Mihaela van der Schaar, Richard G. Baraniuk, Mung Chiang, Jonathan Huang, Shengdong Zhao
2017	—	`conf`	Learn to adapt: Self-optimizing small cell transmit power with correlated bandit learning. ICC Zhiyang Wang, Cong Shen, Xiliang Luo, Mihaela van der Schaar
2017	A*	`conf`	Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis. ICML Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar
2017	J	`jnl`	Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis. CoRR Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar
2017	—	`conf`	Online learning in limit order book trade execution. GlobalSIP Nima Akbarzadeh, Cem Tekin, Mihaela van der Schaar
2017	A*	`conf`	Personalized Donor-Recipient Matching for Organ Transplantation. AAAI Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar
2017	J	`jnl`	Personalized Survival Predictions for Cardiac Transplantation via Trees of Predictors. CoRR Jinsung Yoon, William R. Zame, Amitava Banerjee, Martin Cadeiras, Ahmed M. Alaa, Mihaela van der Schaar
2017	A*	`conf`	Progressive Prediction of Student Performance in College Programs. AAAI Jie Xu, Yuli Han, Daniel Marcu, Mihaela van der Schaar
2017	J	`jnl`	Social Norm Incentives for Network Coding in Manets. IEEE/ACM Trans. Netw. Chuchu Wu, Mario Gerla, Mihaela van der Schaar
2017	J	`jnl`	ToPs: Ensemble Learning with Trees of Predictors. CoRR Jinsung Yoon, William R. Zame, Mihaela van der Schaar
2016	J	`jnl`	A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference. CoRR Ahmed M. Alaa, Mihaela van der Schaar
2016	J	`jnl`	A Non-Stochastic Learning Approach to Energy Efficient Mobility Management. IEEE J. Sel. Areas Commun. Cong Shen, Cem Tekin, Mihaela van der Schaar
2016	—	`conf`	A Non-parametric Learning Method for Confidently Estimating Patient's Clinical State and Dynamics. NIPS William Hoiles, Mihaela van der Schaar
2016	J	`jnl`	A Non-stochastic Learning Approach to Energy Efficient Mobility Management. CoRR Cong Shen, Cem Tekin, Mihaela van der Schaar
2016	J	`jnl`	A Semi-Markov Switching Linear Gaussian Model for Censored Physiological Data. CoRR Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
2016	—	`conf`	Adaptive Ensemble Learning with Confidence Bounds for Personalized Diagnosis. AAAI Workshop: Expanding the Boundaries of Health Informatics Using AI Cem Tekin, Jinsung Yoon, Mihaela van der Schaar
2016	Misc	`conf`	Adaptive learning for stochastic generalized Nash equilibrium problems. ICASSP Chung-Kai Yu, Mihaela van der Schaar, Ali H. Sayed
2016	—	`conf`	Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition. NIPS Ahmed M. Alaa, Mihaela van der Schaar
2016	J	`jnl`	Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition. CoRR Ahmed M. Alaa, Mihaela van der Schaar
2016	J	`jnl`	Big-Data Streaming Applications Scheduling Based on Staged Multi-Armed Bandits. IEEE Trans. Computers Karim Kanoun, Cem Tekin, David Atienza, Mihaela van der Schaar
2016	J	`jnl`	Bits Learning: User-Adjustable Privacy Versus Accuracy in Internet Traffic Classification. IEEE Commun. Lett. Zhenlong Yuan, Jie Xu, Yibo Xue, Mihaela van der Schaar
2016	A*	`conf`	Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum Design. ICML William Hoiles, Mihaela van der Schaar
2016	J	`jnl`	Collision Detection by Networked Sensors. IEEE Trans. Signal Inf. Process. over Networks Luca Canzian, Ugur Demiryurek, Mihaela van der Schaar
2016	J	`jnl`	ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening. CoRR Ahmed M. Alaa, Kyeong H. Moon, William Hsu, Mihaela van der Schaar
2016	J	`jnl`	ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening. IEEE Trans. Multim. Ahmed M. Alaa, Kyeong H. Moon, William Hsu, Mihaela van der Schaar
2016	J	`jnl`	Constructing Effective Personalized Policies Using Counterfactual Inference from Biased Data Sets with Many Features. CoRR Onur Atan, William R. Zame, Qiaojun Feng, Mihaela van der Schaar
2016	J	`jnl`	Context-Aware Proactive Content Caching with Service Differentiation in Wireless Networks. CoRR Sabrina Müller, Onur Atan, Mihaela van der Schaar, Anja Klein
2016	J	`jnl`	Context-based unsupervised ensemble learning and feature ranking. Mach. Learn. Erfan Soltanmohammadi, Mort Naraghi-Pour, Mihaela van der Schaar
2016	—	`conf`	Contextual learning for unit commitment with renewable energy sources. GlobalSIP Hyun-Suk Lee, Cem Tekin, Mihaela van der Schaar, Jang-Won Lee
2016	Misc	`conf`	Data Mining for Medical Informatics (DMMI) - Learning Health. AMIA Fei Wang, Gregor Stiglic, Mihaela van der Schaar, David A. Sontag, Christopher C. Yang
2016	J	`jnl`	Data-Driven Online Decision Making with Costly Information Acquisition. CoRR Onur Atan, William Whoiles, Mihaela van der Schaar
2016	J	`jnl`	Distributed Learning for Stochastic Generalized Nash Equilibrium Problems. CoRR Chung-Kai Yu, Mihaela van der Schaar, Ali H. Sayed
2016	J	`jnl`	Dynamic Pricing and Energy Consumption Scheduling With Reinforcement Learning. IEEE Trans. Smart Grid Byung-Gook Kim, Yu Zhang, Mihaela van der Schaar, Jang-Won Lee
2016	A*	`conf`	ForecastICU: A Prognostic Decision Support System for Timely Prediction of Intensive Care Unit Admission. ICML Jinsung Yoon, Ahmed M. Alaa, Scott Hu, Mihaela van der Schaar
2016	J	`jnl`	Jamming Bandits - A Novel Learning Method for Optimal Jamming. IEEE Trans. Wirel. Commun. SaiDhiraj Amuru, Cem Tekin, Mihaela van der Schaar, R. Michael Buehrer
2016	J	`jnl`	Online Learning in Large-Scale Contextual Recommender Systems. IEEE Trans. Serv. Comput. Linqi Song, Cem Tekin, Mihaela van der Schaar
2016	J	`jnl`	Personalized Active Learning for Activity Classification Using Wireless Wearable Sensors. IEEE J. Sel. Top. Signal Process. Jie Xu, Linqi Song, James Y. Xu, Gregory J. Pottie, Mihaela van der Schaar
2016	J	`jnl`	Personalized Course Sequence Recommendations. IEEE Trans. Signal Process. Jie Xu, Tianwei Xing, Mihaela van der Schaar
2016	J	`jnl`	Personalized Donor-Recipient Matching for Organ Transplantation. CoRR Jinsung Yoon, Ahmed M. Alaa, Martin Cadeiras, Mihaela van der Schaar
2016	J	`jnl`	Personalized Risk Scoring for Critical Care Patients using Mixtures of Gaussian Process Experts. CoRR Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
2016	J	`jnl`	Personalized Risk Scoring for Critical Care Prognosis using Mixtures of Gaussian Processes. CoRR Ahmed M. Alaa, Jinsung Yoon, Scott Hu, Mihaela van der Schaar
2016	A*	`conf`	Popularity-driven content caching. INFOCOM Suoheng Li, Jie Xu, Mihaela van der Schaar, Weiping Li
2016	J	`jnl`	Predicting Grades. IEEE Trans. Signal Process. Yannick Meier, Jie Xu, Onur Atan, Mihaela van der Schaar
2016	J	`jnl`	Repeated Matching Mechanism Design with Moral Hazard and Adverse Selection. CoRR Kartik Ahuja, Mihaela van der Schaar
2016	—	`conf`	Smart caching in wireless small cell networks via contextual multi-armed bandits. ICC Sabrina Müller, Onur Atan, Mihaela van der Schaar, Anja Klein
2016	J	`jnl`	To Relay or Not to Relay: Learning Device-to-Device Relaying Strategies in Cellular Networks. IEEE Trans. Mob. Comput. Nicholas Mastronarde, Viral Patel, Jie Xu, Lingjia Liu, Mihaela van der Schaar
2016	J	`jnl`	Trend-Aware Video Caching Through Online Learning. IEEE Trans. Multim. Suoheng Li, Jie Xu, Mihaela van der Schaar, Weiping Li
2016	J	`jnl`	Using Contextual Learning to Improve Diagnostic Accuracy: Application in Breast Cancer Screening. IEEE J. Biomed. Health Informatics Linqi Song, William Hsu, Jie Xu, Mihaela van der Schaar
2015	J	`jnl`	A Dynamic Network Formation Model for Understanding Bacterial Self-Organization Into Micro-Colonies. IEEE Trans. Mol. Biol. Multi Scale Commun. Luca Canzian, Kun Zhao, Gerard C. L. Wong, Mihaela van der Schaar
2015	J	`jnl`	A Micro-foundation of Social Capital in Evolving Social Networks. CoRR Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
2015	—	`conf`	A Reinforcement Learning-based Data-Link Protocol for Underwater Acoustic Communications. WUWNet Valerio Di Valerio, Chiara Petrioli, Loreto Pescosolido, Mihaela van der Schaar
2015	Misc	`conf`	A data-driven approach for matching clinical expertise to individual cases. ICASSP Onur Atan, William Hsu, Cem Tekin, Mihaela van der Schaar
2015	—	`conf`	A systematic learning method for optimal jamming. ICC SaiDhiraj Amuru, Cem Tekin, Mihaela van der Schaar, R. Michael Buehrer
2015	J	`jnl`	Active Learning in Context-Driven Stream Mining With an Application to Image Mining. IEEE Trans. Image Process. Cem Tekin, Mihaela van der Schaar
2015	J	`jnl`	Adaptive Ensemble Learning with Confidence Bounds. CoRR Cem Tekin, Jinsung Yoon, Mihaela van der Schaar
2015	J	`jnl`	Adaptive Prioritized Random Linear Coding and Scheduling for Layered Data Delivery From Multiple Servers. IEEE Trans. Multim. Nikolaos Thomos, Eymen Kurdoglu, Pascal Frossard, Mihaela van der Schaar
2015	J	`jnl`	Bandit Framework for Systematic Learning in Wireless Video-Based Face Recognition. IEEE J. Sel. Top. Signal Process. Onur Atan, Yiannis Andreopoulos, Cem Tekin, Mihaela van der Schaar
2015	A	`conf`	Big-data streaming applications scheduling with online learning and concept drift detection. DATE Karim Kanoun, Mihaela van der Schaar
2015	A*	`conf`	BitMiner: Bits Mining in Internet Traffic Classification. SIGCOMM Zhenlong Yuan, Yibo Xue, Mihaela van der Schaar
2015	J	`jnl`	Blind Network Interdiction Strategies - A Learning Approach. IEEE Trans. Cogn. Commun. Netw. SaiDhiraj Amuru, R. Michael Buehrer, Mihaela van der Schaar
2015	J	`jnl`	Caring Analytics for Adults With Special Needs. IEEE Des. Test Marilyn Wolf, Mihaela van der Schaar, Honggab Kim, Jie Xu
2015	A*	`conf`	Context-based Unsupervised Data Fusion for Decision Making. ICML Erfan Soltanmohammadi, Mort Naraghi-Pour, Mihaela van der Schaar
2015	J	`jnl`	Contextual Online Learning for Multimedia Content Aggregation. CoRR Cem Tekin, Mihaela van der Schaar
2015	J	`jnl`	Contextual Online Learning for Multimedia Content Aggregation. IEEE Trans. Multim. Cem Tekin, Mihaela van der Schaar
2015	J	`jnl`	Discover the Expert: Context-Adaptive Expert Selection for Medical Diagnosis. IEEE Trans. Emerg. Top. Comput. Cem Tekin, Onur Atan, Mihaela van der Schaar
2015	J	`jnl`	Distributed Interference Management Policies for Heterogeneous Small Cell Networks. IEEE J. Sel. Areas Commun. Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar
2015	J	`jnl`	Distributed Multi-Agent Online Learning Based on Global Feedback. IEEE Trans. Signal Process. Jie Xu, Cem Tekin, Simpson Zhang, Mihaela van der Schaar
2015	J	`jnl`	Distributed Online Learning via Cooperative Contextual Bandits. IEEE Trans. Signal Process. Cem Tekin, Mihaela van der Schaar
2015	J	`jnl`	Dynamic Network Formation with Foresighted Agents. CoRR Yangbo Song, Mihaela van der Schaar
2015	J	`jnl`	Efficient Interference Management Policies for Femtocell Networks. CoRR Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar
2015	J	`jnl`	Efficient Interference Management Policies for Femtocell Networks. IEEE Trans. Wirel. Commun. Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar
2015	J	`jnl`	Efficient Working and Shirking in Information Sharing Networks. IEEE J. Sel. Areas Commun. Jie Xu, Mihaela van der Schaar
2015	J	`jnl`	Ensemble of Distributed Learners for Online Classification of Dynamic Data Streams. IEEE Trans. Signal Inf. Process. over Networks Luca Canzian, Yu Zhang, Mihaela van der Schaar
2015	J	`jnl`	Evolution of Social Networks: A Microfounded Model. CoRR Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
2015	J	`jnl`	Forecasting Popularity of Videos Using Social Media. IEEE J. Sel. Top. Signal Process. Jie Xu, Mihaela van der Schaar, Jiangchuan Liu, Haitao Li
2015	J	`jnl`	From Acquaintances to Friends: Homophily and Learning in Networks. CoRR Mihaela van der Schaar, Simpson Zhang
2015	J	`jnl`	Game Theoretic Design of MAC Protocols: Pricing Versus Intervention. IEEE Trans. Commun. Luca Canzian, Michele Zorzi, Mihaela van der Schaar
2015	J	`jnl`	Global Bandits. CoRR Onur Atan, Cem Tekin, Mihaela van der Schaar
2015	A	`conf`	Global Multi-armed Bandits with Hölder Continuity. AISTATS Onur Atan, Cem Tekin, Mihaela van der Schaar
2015	J	`jnl`	Incentive-compatible demand-side management for smart grids based on review strategies. EURASIP J. Adv. Signal Process. Jie Xu, Mihaela van der Schaar
2015	J	`jnl`	Information-Sharing Over Adaptive Networks With Self-Interested Agents. IEEE Trans. Signal Inf. Process. over Networks Chung-Kai Yu, Mihaela van der Schaar, Ali H. Sayed
2015	J	`jnl`	Mining the Situation: Spatiotemporal Traffic Prediction With Big Data. IEEE J. Sel. Top. Signal Process. Jie Xu, Dingxiong Deng, Ugur Demiryurek, Cyrus Shahabi, Mihaela van der Schaar
2015	Misc	`conf`	Multiobjective Design Optimization in the Lightweight Dataflow for DDDAS Environment (LiD4E) ICCS Kishan Sudusinghe, Yang Jiao, Haifa Ben Salem, Mihaela van der Schaar, Shuvra S. Bhattacharyya
2015	Misc	`conf`	Network formation games based on conditional independence graphs. ICASSP Sergio Barbarossa, Paolo Di Lorenzo, Mihaela van der Schaar
2015	—	`conf`	Online Transfer Learning for Differential Diagnosis Determination. AAAI Workshop: WWW and Public Health Intelligence Jie Xu, Daby M. Sow, Deepak S. Turaga, Mihaela van der Schaar
2015	J	`jnl`	Optimal Foresighted Multi-User Wireless Video. IEEE J. Sel. Top. Signal Process. Yuanzhang Xiao, Mihaela van der Schaar
2015	—	`conf`	Optimal intervention for incentivizing the adoption of commercial electric vehicles. GlobalSIP Yuanzhang Xiao, Mihaela van der Schaar
2015	J	`jnl`	Personalized Course Sequence Recommendations. CoRR Jie Xu, Tianwei Xing, Mihaela van der Schaar
2015	A*	`conf`	Personalized Grade Prediction: A Data Mining Approach. ICDM Yannick Meier, Jie Xu, Onur Atan, Mihaela van der Schaar
2015	J	`jnl`	Predicting Grades. CoRR Yannick Meier, Jie Xu, Onur Atan, Mihaela van der Schaar
2015	J	`jnl`	RELEAF: An Algorithm for Learning and Exploiting Relevance. CoRR Cem Tekin, Mihaela van der Schaar
2015	J	`jnl`	RELEAF: An Algorithm for Learning and Exploiting Relevance. IEEE J. Sel. Top. Signal Process. Cem Tekin, Mihaela van der Schaar
2015	J	`jnl`	Real-time stream mining: online knowledge extraction using classifier networks. IEEE Netw. Luca Canzian, Mihaela van der Schaar
2015	J	`jnl`	Reputational Learning and Network Dynamics. CoRR Simpson Zhang, Mihaela van der Schaar
2015	J	`jnl`	Self-Organizing Networks of Information Gathering Cognitive Agents. IEEE Trans. Cogn. Commun. Netw. Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
2015	J	`jnl`	Self-organizing Networks of Information Gathering Cognitive Agents. CoRR Ahmed M. Alaa, Kartik Ahuja, Mihaela van der Schaar
2015	J	`jnl`	Silence is Gold: Strategic Interference Mitigation Using Tokens in Heterogeneous Small Cell Networks. IEEE J. Sel. Areas Commun. Cong Shen, Jie Xu, Mihaela van der Schaar
2015	J	`jnl`	Socially-Optimal Design of Service Exchange Platforms with Imperfect Monitoring. ACM Trans. Economics and Comput. Yuanzhang Xiao, Mihaela van der Schaar
2015	J	`jnl`	Staged Multi-armed Bandits. CoRR Cem Tekin, Mihaela van der Schaar
2015	J	`jnl`	The Population Dynamics of Websites: [Extended Abstract]. SIGMETRICS Perform. Evaluation Rev. Kartik Ahuja, Simpson Zhang, Mihaela van der Schaar
2015	J	`jnl`	Timely Event Detection by Networked Learners. IEEE Trans. Signal Process. Luca Canzian, Mihaela van der Schaar
2015	A*	`conf`	Timely video popularity forecasting based on social networks. INFOCOM Jie Xu, Mihaela van der Schaar, Jiangchuan Liu, Haitao Li
2015	B	`conf`	To Send or Not to Send - Learning MAC Contention. GLOBECOM SaiDhiraj Amuru, Yuanzhang Xiao, Mihaela van der Schaar, R. Michael Buehrer
2015	Misc	`conf`	eTutor: Online learning for personalized education. ICASSP Cem Tekin, Jonas Braun, Mihaela van der Schaar
2014	J	`jnl`	A Dynamic Network Formation Model for Understanding Bacterial Self-Organization into Micro-Colonies. CoRR Luca Canzian, Kun Zhao, Gerard C. L. Wong, Mihaela van der Schaar
2014	A*	`conf`	A dynamic model of certification and reputation. EC Mihaela van der Schaar, Simpson Zhang
2014	J	`jnl`	A fast online learning algorithm for distributed mining of BigData. SIGMETRICS Perform. Evaluation Rev. Yu Zhang, Daby M. Sow, Deepak S. Turaga, Mihaela van der Schaar
2014	Misc	`conf`	A network of cooperative learners for data-driven stream Mining. ICASSP Luca Canzian, Mihaela van der Schaar
2014	—	`conf`	A unified online directed acyclic graph flow manager for multicore schedulers. ASP-DAC Karim Kanoun, David Atienza, Nicholas Mastronarde, Mihaela van der Schaar
2014	J	`jnl`	Adaptive Prioritized Random Linear Coding and Scheduling for Layered Data Delivery from Multiple Servers. CoRR Nikolaos Thomos, Eymen Kurdoglu, Pascal Frossard, Mihaela van der Schaar
2014	—	`conf`	An experts learning approach to mobile service offloading. Allerton Cem Tekin, Mihaela van der Schaar
2014	Misc	`conf`	Bandit framework for systematic learning in wireless video-based face recognition. ICASSP Onur Atan, Cem Tekin, Mihaela van der Schaar, Yiannis Andreopoulos
2014	Misc	`conf`	Clustering based online learning in recommender systems: A bandit approach. ICASSP Linqi Song, Cem Tekin, Mihaela van der Schaar
2014	J	`jnl`	Coalitional Games With Intervention: Application to Spectrum Leasing in Cognitive Radio. IEEE Trans. Wirel. Commun. Juan J. Alcaraz, Mihaela van der Schaar
2014	J	`jnl`	Collective Ratings for Online Communities With Strategic Users. IEEE Trans. Signal Process. Yu Zhang, Mihaela van der Schaar
2014	—	`conf`	Context-Aware Online Spatiotemporal Traffic Prediction. ICDM Workshops Jie Xu, Dingxiong Deng, Ugur Demiryurek, Cyrus Shahabi, Mihaela van der Schaar
2014	—	`conf`	Context-adaptive big data stream mining. Allerton Cem Tekin, Luca Canzian, Mihaela van der Schaar
2014	B	`conf`	Context-driven online learning for activity classification in wireless health. GLOBECOM Jie Xu, James Y. Xu, Linqi Song, Gregory J. Pottie, Mihaela van der Schaar
2014	J	`jnl`	Cooperative Multi-Agent Learning and Coordination for Cognitive Radio Networks. IEEE J. Sel. Areas Commun. William R. Zame, Jie Xu, Mihaela van der Schaar
2014	—	`conf`	Decentralized foresighted energy purchase and procurement with renewable generation and energy storage. CDC Yuanzhang Xiao, Mihaela van der Schaar
2014	J	`jnl`	Demand Side Management in Smart Grids Using a Repeated Game Framework. IEEE J. Sel. Areas Commun. Linqi Song, Yuanzhang Xiao, Mihaela van der Schaar
2014	—	`conf`	Discovering, Learning and Exploiting Relevance. NIPS Cem Tekin, Mihaela van der Schaar
2014	J	`jnl`	Distributed Interference Management Policies for Heterogeneous Small Cell Networks. CoRR Kartik Ahuja, Yuanzhang Xiao, Mihaela van der Schaar
2014	J	`jnl`	Distributed Online Learning in Social Recommender Systems. IEEE J. Sel. Top. Signal Process. Cem Tekin, Simpson Zhang, Mihaela van der Schaar
2014	J	`jnl`	Dynamic Incentive Design for Participation in Direct Load Scheduling Programs. IEEE J. Sel. Top. Signal Process. Mahnoosh Alizadeh, Yuanzhang Xiao, Anna Scaglione, Mihaela van der Schaar
2014	J	`jnl`	Dynamic Scheduling and Pricing in Wireless Cloud Computing. IEEE Trans. Mob. Comput. Shaolei Ren, Mihaela van der Schaar
2014	J	`jnl`	Dynamic Scheduling for Energy Minimization in Delay-Sensitive Stream Mining. IEEE Trans. Signal Process. Shaolei Ren, Nikos Deligiannis, Yiannis Andreopoulos, Mohammad A. Islam, Mihaela van der Schaar
2014	—	`conf`	Dynamic pricing for smart grid with reinforcement learning. INFOCOM Workshops Byung-Gook Kim, Yu Zhang, Mihaela van der Schaar, Jang-Won Lee
2014	J	`jnl`	Energy-Efficient Nonstationary Spectrum Sharing. IEEE Trans. Commun. Yuanzhang Xiao, Mihaela van der Schaar
2014	—	`conf`	Ensemble Online Clustering through Decentralized Observations. CDC Dimitrios Katselis, Carolyn L. Beck, Mihaela van der Schaar
2014	J	`jnl`	Forecasting Popularity of Videos using Social Media. CoRR Jie Xu, Mihaela van der Schaar, Jiangchuan Liu, Haitao Li
2014	J	`jnl`	Foresighted Demand Side Management. CoRR Yuanzhang Xiao, Mihaela van der Schaar
2014	J	`jnl`	Global Bandits with Holder Continuity. CoRR Onur Atan, Cem Tekin, Mihaela van der Schaar
2014	J	`jnl`	Incentive Design in Peer Review: Rating and Repeated Endogenous Matching. CoRR Yuanzhang Xiao, Florian Dörfler, Mihaela van der Schaar
2014	J	`jnl`	Incentive design for heterogeneous user-generated content networks. SIGMETRICS Perform. Evaluation Rev. Jie Xu, Mihaela van der Schaar
2014	Misc	`conf`	Incentivizing information sharing in networks. ICASSP Jie Xu, Yangbo Song, Mihaela van der Schaar
2014	J	`jnl`	Information-Sharing over Adaptive Networks with Self-interested Agents. CoRR Chung-Kai Yu, Mihaela van der Schaar, Ali H. Sayed
2014	Misc	`conf`	Intervention framework for counteracting collusion in spectrum leasing systems. ICASSP Juan J. Alcaraz, Mihaela van der Schaar
2014	J	`jnl`	Jamming Bandits. CoRR SaiDhiraj Amuru, Cem Tekin, Mihaela van der Schaar, R. Michael Buehrer
2014	—	`conf`	Low Power and Scalable Many-Core Architecture for Big-Data Stream Computing. ISVLSI Karim Kanoun, Martino Ruggiero, David Atienza, Mihaela van der Schaar
2014	Misc	`conf`	Model Based Design Environment for Data-driven Embedded Signal Processing Systems. ICCS Kishan Sudusinghe, Inkeun Cho, Mihaela van der Schaar, Shuvra S. Bhattacharyya
2014	—	`conf`	Network evolution with incomplete information and learning. Allerton Jie Xu, Simpson Zhang, Mihaela van der Schaar
2014	J	`jnl`	Non-Stationary Resource Allocation Policies for Delay-Constrained Video Streaming: Application to Video over Internet-of-Things-Enabled Networks. IEEE J. Sel. Areas Commun. Jie Xu, Yiannis Andreopoulos, Yuanzhang Xiao, Mihaela van der Schaar
2014	J	`jnl`	Non-stationary Resource Allocation Policies for Delay-constrained Video Streaming: Application to Video over Internet-of-Things-enabled Networks. CoRR Jie Xu, Yiannis Andreopoulos, Yuanzhang Xiao, Mihaela van der Schaar
2014	Misc	`conf`	Non-stationary demand side management method for smart grids. ICASSP Linqi Song, Yuanzhang Xiao, Mihaela van der Schaar
2014	J	`jnl`	Online Energy-Efficient Task-Graph Scheduling for Multicore Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Karim Kanoun, Nicholas Mastronarde, David Atienza, Mihaela van der Schaar
2014	Misc	`conf`	Optimal foresighted packet scheduling and resource allocation for multi-user video transmission in 4G cellular networks. ICASSP Yuanzhang Xiao, Mihaela van der Schaar
2014	J	`jnl`	Rating Protocols in Online Communities. ACM Trans. Economics and Comput. Yu Zhang, Jaeok Park, Mihaela van der Schaar
2014	—	`conf`	Rating and matching in peer review systems. Allerton Yuanzhang Xiao, Florian Dörfler, Mihaela van der Schaar
2014	—	`conf`	Real-time discovery and decision making from big data. ICCE-TW Mihaela van der Schaar
2014	J	`jnl`	Robust Additively Coupled Games in the Presence of Bounded Uncertainty in Communication Networks. IEEE Trans. Veh. Technol. Saeedeh Parsaeefard, Ahmad R. Sharafat, Mihaela van der Schaar
2014	J	`jnl`	Robust Power Control for Heterogeneous Users in Shared Unlicensed Bands. IEEE Trans. Wirel. Commun. Saeedeh Parsaeefard, Mihaela van der Schaar, Ahmad R. Sharafat
2014	J	`jnl`	Sharing in Networks of Strategic Agents. IEEE J. Sel. Top. Signal Process. Jie Xu, Yangbo Song, Mihaela van der Schaar
2014	B	`conf`	Silence is gold: Strategic small cell interference management using tokens. GLOBECOM Cong Shen, Jie Xu, Mihaela van der Schaar
2014	B	`conf`	Spectrum sharing for delay-sensitive applications with continuing QoS guarantees. GLOBECOM Yuanzhang Xiao, Kartik Ahuja, Mihaela van der Schaar
2014	J	`jnl`	Structure-Aware Stochastic Storage Management in Smart Grids. IEEE J. Sel. Top. Signal Process. Yu Zhang, Mihaela van der Schaar
2014	A*	`conf`	Structure-aware stochastic load management in smart grids. INFOCOM Yu Zhang, Mihaela van der Schaar
2014	J	`jnl`	Technology Choices and Pricing Policies in Public and Private Wireless Networks. IEEE Trans. Wirel. Commun. Yuanzhang Xiao, William R. Zame, Mihaela van der Schaar
2014	J	`jnl`	Towards a Theory of Societal Co-Evolution: Individualism versus Collectivism. CoRR Kartik Ahuja, Simpson Zhang, Mihaela van der Schaar
2014	—	`conf`	Towards a theory of societal co-evolution: Individualism versus collectivism. GlobalSIP Kartik Ahuja, Simpson Zhang, Mihaela van der Schaar
2014	J	`jnl`	eTutor: Online Learning for Personalized Education. CoRR Cem Tekin, Mihaela van der Schaar
2013	Misc	`conf`	A Design Methodology for Distributed Adaptive Stream Mining Systems. ICCS Stephen Won, Inkeun Cho, Kishan Sudusinghe, Jie Xu, Yu Zhang, Mihaela van der Schaar, Shuvra S. Bhattacharyya
2013	A	`conf`	A learning based congestion control for multimedia transmission in wireless networks. ICME Oussama Habachi, Nicholas Mastronarde, Hsien-Po Shiang, Mihaela van der Schaar, Yezekael Hayel
2013	A	`conf`	A novel framework for design and implementation of adaptive stream mining systems. ICME Kishan Sudusinghe, Stephen Won, Mihaela van der Schaar, Shuvra S. Bhattacharyya
2013	J	`jnl`	Bidirectional Energy Trading and Residential Load Scheduling with Electric Vehicles in the Smart Grid. IEEE J. Sel. Areas Commun. Byung-Gook Kim, Shaolei Ren, Mihaela van der Schaar, Jang-Won Lee
2013	A*	`conf`	Bidirectional energy trading for residential load scheduling and electric vehicles. INFOCOM Byung-Gook Kim, Shaolei Ren, Mihaela van der Schaar, Jang-Won Lee
2013	—	`conf`	Cluster formation over adaptive networks with selfish agents. EUSIPCO Chung-Kai Yu, Mihaela van der Schaar, Ali H. Sayed
2013	J	`jnl`	Conjecture-Based Load Balancing for Delay-Sensitive Users Without Message Exchanges. IEEE Trans. Veh. Technol. Hsien-Po Shiang, Mihaela van der Schaar
2013	J	`jnl`	Decentralized Online Big Data Classification - a Bandit Framework. CoRR Cem Tekin, Mihaela van der Schaar
2013	J	`jnl`	Demand Side Management in Smart Grids using a Repeated Game Framework. CoRR Linqi Song, Yuanzhang Xiao, Mihaela van der Schaar
2013	J	`jnl`	Designing Efficient Resource Sharing For Impatient Players Using Limited Monitoring. CoRR Mihaela van der Schaar, Yuanzhang Xiao, William R. Zame
2013	J	`jnl`	Distributed Online Big Data Classification Using Context Information. CoRR Cem Tekin, Mihaela van der Schaar
2013	J	`jnl`	Distributed Online Learning in Social Recommender Systems. CoRR Cem Tekin, Simpson Zhang, Mihaela van der Schaar
2013	J	`jnl`	Distributed Online Learning via Cooperative Contextual Bandits. CoRR Cem Tekin, Mihaela van der Schaar
2013	Misc	`conf`	Distributed demand side management among foresighted decision makers in power networks. ACSSC Yuanzhang Xiao, Mihaela van der Schaar
2013	—	`conf`	Distributed online Big Data classification using context information. Allerton Cem Tekin, Mihaela van der Schaar
2013	—	`conf`	Distributed spectrum sensing in the presence of selfish users. CAMSAP Chung-Kai Yu, Mihaela van der Schaar, Ali H. Sayed
2013	J	`jnl`	Dynamic Network Formation with Incomplete Information. CoRR Yangbo Song, Mihaela van der Schaar
2013	J	`jnl`	Efficient Resource Provisioning and Rate Selection for Stream Mining in a Community Cloud. IEEE Trans. Multim. Shaolei Ren, Mihaela van der Schaar
2013	Misc	`conf`	Energy-efficient design of real-time stream mining systems. ICASSP Shaolei Ren, Cuiling Lan, Mihaela van der Schaar
2013	B	`conf`	Energy-efficient nonstationary power control in cognitive radio networks. GLOBECOM Yuanzhang Xiao, Mihaela van der Schaar
2013	J	`jnl`	Ensemble of Distributed Learners for Online Classification of Dynamic Data Streams. CoRR Luca Canzian, Yu Zhang, Mihaela van der Schaar
2013	J	`jnl`	Entry and Spectrum Sharing Scheme Selection in Femtocell Communications Markets. IEEE/ACM Trans. Netw. Shaolei Ren, Jaeok Park, Mihaela van der Schaar
2013	—	`ch.`	Finding It Now: Construction and Configuration of Networked Classifiers in Real-Time Stream Mining Systems. Handbook of Signal Processing Systems Raphael Ducasse, Mihaela van der Schaar
2013	—	`conf`	Game theoretic design of MAC protocols: Pricing and intervention in slotted-Aloha. Allerton Luca Canzian, Yuanzhang Xiao, Michele Zorzi, Mihaela van der Schaar
2013	J	`jnl`	Incentive Design for Direct Load Control Programs. CoRR Mahnoosh Alizadeh, Yuanzhang Xiao, Anna Scaglione, Mihaela van der Schaar
2013	J	`jnl`	Incentive Provision and Job Allocation in Social Cloud Systems. IEEE J. Sel. Areas Commun. Yu Zhang, Mihaela van der Schaar
2013	—	`conf`	Incentive design for Direct Load Control programs. Allerton Mahnoosh Alizadeh, Yuanzhang Xiao, Anna Scaglione, Mihaela van der Schaar
2013	J	`jnl`	Information Sharing in Networks of Strategic Agents. CoRR Jie Xu, Yangbo Song, Mihaela van der Schaar
2013	J	`jnl`	Intervention with Complete and Incomplete Information: Application to Flow Control. IEEE Trans. Commun. Luca Canzian, Yuanzhang Xiao, William R. Zame, Michele Zorzi, Mihaela van der Schaar
2013	J	`jnl`	Intervention with Private Information, Imperfect Monitoring and Costly Communication. IEEE Trans. Commun. Luca Canzian, Yuanzhang Xiao, William R. Zame, Michele Zorzi, Mihaela van der Schaar
2013	J	`jnl`	Joint Physical-Layer and System-Level Power Management for Delay-Sensitive Wireless Communications. IEEE Trans. Mob. Comput. Nicholas Mastronarde, Mihaela van der Schaar
2013	A*	`conf`	Joint design of Dynamic Scheduling and Pricing in wireless cloud computing. INFOCOM Shaolei Ren, Mihaela van der Schaar
2013	—	`conf`	Joint scheduling - Traffic admission control: Structural results and online learning algorithm. ICC Khoa Tran Phan, Tho Le-Ngoc, Mihaela van der Schaar, Fangwen Fu
2013	—	`conf`	Learning optimal classifier chains for real-time big data mining. Allerton Jie Xu, Cem Tekin, Mihaela van der Schaar
2013	B	`conf`	Learning perfect coordination with minimal feedback in wireless multi-access communications. GLOBECOM William R. Zame, Jie Xu, Mihaela van der Schaar
2013	—	`conf`	Learning relaying strategies in cellular D2D networks with token-based incentives. GLOBECOM Workshops Nicholas Mastronarde, Viral Patel, Jie Xu, Mihaela van der Schaar
2013	A	`conf`	Low-complexity reinforcement learning for delay-sensitive compression in networked video stream mining. ICME Xiaoqing Zhu, Cuiling Lan, Mihaela van der Schaar
2013	J	`jnl`	Markov Decision Process Based Energy-Efficient On-Line Scheduling for Slice-Parallel Video Decoders on Multicore Systems. IEEE Trans. Multim. Nicholas Mastronarde, Karim Kanoun, David Atienza, Pascal Frossard, Mihaela van der Schaar
2013	—	`conf`	Markov decision process based energy-efficient scheduling for slice-parallel video decoding. ICME Workshops Nicholas Mastronarde, Karim Kanoun, David Atienza, Mihaela van der Schaar
2013	—	`conf`	Nonstationary resource sharing with imperfect binary feedback: An optimal design framework for cost minimization. Allerton Yuanzhang Xiao, Mihaela van der Schaar
2013	J	`jnl`	Online Learning Based Congestion Control for Adaptive Multimedia Transmission. IEEE Trans. Signal Process. Oussama Habachi, Hsien-Po Shiang, Mihaela van der Schaar, Yezekael Hayel
2013	J	`jnl`	Optimal Foresighted Multi-User Wireless Video. CoRR Yuanzhang Xiao, Mihaela van der Schaar
2013	J	`jnl`	Optimal Scheduling over Time-Varying Channels with Traffic Admission Control: Structural Results and Online Learning Algorithms. IEEE Trans. Wirel. Commun. Khoa Tran Phan, Tho Le-Ngoc, Mihaela van der Schaar, Fangwen Fu
2013	Misc	`conf`	Rating systems for enhanced cyber-security investments. ICASSP Jie Xu, Yu Zhang, Mihaela van der Schaar
2013	—	`conf`	Reputation design for adaptive networks with selfish agents. SPAWC Chung-Kai Yu, Mihaela van der Schaar, Ali H. Sayed
2013	J	`jnl`	Robust Reputation Protocol Design for Online Communities: A Stochastic Stability Analysis. IEEE J. Sel. Top. Signal Process. Yu Zhang, Mihaela van der Schaar
2013	J	`jnl`	Socially-Optimal Design of Service Exchange Platforms with Imperfect Monitoring. CoRR Yuanzhang Xiao, Mihaela van der Schaar
2013	Misc	`conf`	Socially-optimal design of crowdsourcing platforms with reputation update errors. ICASSP Yuanzhang Xiao, Yu Zhang, Mihaela van der Schaar
2013	—	`conf`	Spectrum sharing policies for heterogeneous delay-sensitive users: A novel design framework. Allerton Yuanzhang Xiao, Mihaela van der Schaar
2013	J	`jnl`	Strategic Networks: Information Dissemination and Link Formation Among Self-Interested Agents. IEEE J. Sel. Areas Commun. Yu Zhang, Mihaela van der Schaar
2013	Misc	`conf`	Strategic information dissemination and link formation in social networks. ICASSP Yu Zhang, Mihaela van der Schaar
2013	—	`conf`	Strategic information dissemination in endogenous networks. Allerton Yu Zhang, Mihaela van der Schaar
2013	A*	`conf`	Tiered billing scheme for residential load scheduling with bidirectional energy trading. INFOCOM Byung-Gook Kim, Shaolei Ren, Mihaela van der Schaar, Jang-Won Lee
2013	—	`conf`	Tiered billing scheme for residential load scheduling with bidirectional energy trading. INFOCOM Workshops Byung-Gook Kim, Shaolei Ren, Mihaela van der Schaar, Jang-Won Lee
2013	J	`jnl`	To Relay or Not to Relay: Learning Relaying Strategies in Cellular Device-to-Device Networks. CoRR Nicholas Mastronarde, Viral Patel, Jie Xu, Mihaela van der Schaar
2013	J	`jnl`	Token System Design for Autonomic Wireless Relay Networks. IEEE Trans. Commun. Jie Xu, Mihaela van der Schaar
2013	—	`conf`	Utility-based server management strategy in cloud networks. GLOBECOM Workshops Eunhye Choi, Suin Song, Hyejin Kim, Jiyeon Hong, Hyunggon Park, Mihaela van der Schaar
2013	J	`jnl`	Winning the Lottery: Learning Perfect Coordination With Minimal Feedback. IEEE J. Sel. Top. Signal Process. William R. Zame, Jie Xu, Mihaela van der Schaar
2012	J	`jnl`	A Quality-Centric TCP-Friendly Congestion Control for Multimedia Transmission. IEEE Trans. Multim. Hsien-Po Shiang, Mihaela van der Schaar
2012	J	`jnl`	Analytical Modeling for Delay-Sensitive Video Over WLAN. IEEE Trans. Multim. Hossein Bobarshad, Mihaela van der Schaar, A. Hamid Aghvami, Reza Sham Dilmaghani, Mohammad Shikh-Bahaei
2012	J	`jnl`	AppAdapt: Opportunistic Application Adaptation in Presence of Hardware Variation. IEEE Trans. Very Large Scale Integr. Syst. Aashish Pant, Puneet Gupta, Mihaela van der Schaar
2012	—	`conf`	Collective ratings for online labor markets. Allerton Conference Yu Zhang, Mihaela van der Schaar
2012	J	`jnl`	Congestion, Information, and Secret Information in Flow Networks. IEEE J. Sel. Top. Signal Process. Khoa Tran Phan, Mihaela van der Schaar, William R. Zame
2012	J	`jnl`	Data Demand Dynamics in Wireless Communications Markets. IEEE Trans. Signal Process. Shaolei Ren, Mihaela van der Schaar
2012	J	`jnl`	Designing Information Revelation and Intervention with an Application to Flow Control CoRR Luca Canzian, Yuanzhang Xiao, William R. Zame, Michele Zorzi, Mihaela van der Schaar
2012	J	`jnl`	Designing Rating Systems to Promote Mutual Security for Interconnected Networks CoRR Jie Xu, Yu Zhang, Mihaela van der Schaar
2012	B	`conf`	Designing incentives for wireless relay networks using tokens. WiOpt Jie Xu, Mihaela van der Schaar
2012	—	`conf`	Distributed spectrum sharing policies for selfish users with imperfect monitoring ability. ACSCC Yuanzhang Xiao, Mihaela van der Schaar
2012	J	`jnl`	Dynamic Spectrum Sharing Among Repeatedly Interacting Selfish Users With Imperfect Monitoring CoRR Yuanzhang Xiao, Mihaela van der Schaar
2012	J	`jnl`	Dynamic Spectrum Sharing Among Repeatedly Interacting Selfish Users With Imperfect Monitoring. IEEE J. Sel. Areas Commun. Yuanzhang Xiao, Mihaela van der Schaar
2012	J	`jnl`	Energy-Efficient Nonstationary Spectrum Sharing CoRR Yuanzhang Xiao, Mihaela van der Schaar
2012	—	`conf`	Energy-efficient community cloud for real-time stream mining. CDC Shaolei Ren, Mihaela van der Schaar
2012	J	`jnl`	Entry and Spectrum Sharing Scheme Selection in Femtocell Markets CoRR Shaolei Ren, Jaeok Park, Mihaela van der Schaar
2012	J	`jnl`	Information Production and Link Formation in Social Computing Systems. IEEE J. Sel. Areas Commun. Yu Zhang, Mihaela van der Schaar
2012	J	`jnl`	Intervention in Power Control Games With Selfish Users. IEEE J. Sel. Top. Signal Process. Yuanzhang Xiao, Jaeok Park, Mihaela van der Schaar
2012	J	`jnl`	MOS-Based Congestion Control for Conversational Services in Wireless Environments. IEEE J. Sel. Areas Commun. Oussama Habachi, Yusuo Hu, Mihaela van der Schaar, Yezekael Hayel, Feng Wu
2012	A*	`conf`	Maximizing profit on user-generated content platforms with heterogeneous participants. INFOCOM Shaolei Ren, Jaeok Park, Mihaela van der Schaar
2012	—	`conf`	Mitigating uncertainty in Stackelberg games. CDC Saeedeh Parsaeefard, Mihaela van der Schaar, Ahmad R. Sharafat
2012	J	`jnl`	Near-Optimal Deviation-Proof Medium Access Control Designs in Wireless Networks. IEEE/ACM Trans. Netw. Khoa Tran Phan, Jaeok Park, Mihaela van der Schaar
2012	J	`jnl`	Online Learning in BitTorrent Systems. IEEE Trans. Parallel Distributed Syst. Rafit Izhak-Ratzin, Hyunggon Park, Mihaela van der Schaar
2012	J	`jnl`	Peer-to-Peer multimedia sharing based on social norms. Signal Process. Image Commun. Yu Zhang, Mihaela van der Schaar
2012	J	`jnl`	Pricing and Intervention in Slotted-Aloha: Technical Report CoRR Luca Canzian, Yuanzhang Xiao, Michele Zorzi, Mihaela van der Schaar
2012	J	`jnl`	Pricing and Investment for Online TV Content Platforms. IEEE Trans. Multim. Shaolei Ren, Mihaela van der Schaar
2012	—	`conf`	QoE-aware congestion control algorithm for conversational services. ICC Oussama Habachi, Yusuo Hu, Mihaela van der Schaar, Yezekael Hayel, Feng Wu
2012	J	`jnl`	Repeated Games with Intervention: Theory and Applications in Communications. IEEE Trans. Commun. Yuanzhang Xiao, Jaeok Park, Mihaela van der Schaar
2012	—	`conf`	Repeated resource sharing among selfish players with imperfect binary feedback. Allerton Conference Yuanzhang Xiao, Mihaela van der Schaar
2012	A*	`conf`	Reputation-based incentive protocols in crowdsourcing applications. INFOCOM Yu Zhang, Mihaela van der Schaar
2012	—	`conf`	Revenue Maximization in Customer-to-Customer Markets. GAMENETS Shaolei Ren, Mihaela van der Schaar
2012	J	`jnl`	Social Norm Design for Information Exchange Systems with Limited Observations CoRR Jie Xu, Mihaela van der Schaar
2012	J	`jnl`	Social Norm Design for Information Exchange Systems with Limited Observations. IEEE J. Sel. Areas Commun. Jie Xu, Mihaela van der Schaar
2012	—	`conf`	Social norm incentives for secure network coding in MANETs. NetCod Chuchu Wu, Mario Gerla, Mihaela van der Schaar
2012	J	`jnl`	Structural Solutions for Additively Coupled Sum Constrained Games. IEEE Trans. Commun. Yi Su, Mihaela van der Schaar
2012	J	`jnl`	Structural Solutions for Dynamic Scheduling in Wireless Multimedia Transmission. IEEE Trans. Circuits Syst. Video Technol. Fangwen Fu, Mihaela van der Schaar
2012	J	`jnl`	Structure-Aware Stochastic Control for Transmission Scheduling. IEEE Trans. Veh. Technol. Fangwen Fu, Mihaela van der Schaar
2012	—	`conf`	Sustaining cooperation in social exchange networks with incomplete global information. CDC Jie Xu, Mihaela van der Schaar
2012	J	`jnl`	The Theory of Intervention Games for Resource Sharing in Wireless Communications. IEEE J. Sel. Areas Commun. Jaeok Park, Mihaela van der Schaar
2012	A	`conf`	Token economy for online exchange systems. AAMAS Jie Xu, William R. Zame, Mihaela van der Schaar
2012	—	`conf`	Token-Based Incentive Protocol Design for Online Exchange Systems. GAMENETS Jie Xu, William R. Zame, Mihaela van der Schaar
2012	—	`conf`	Towards Social Norm Design for Crowdsourcing Markets. HCOMP@AAAI Chien-Ju Ho, Yu Zhang, Jennifer Wortman Vaughan, Mihaela van der Schaar
2012	J	`jnl`	Transmitting Important Bits and Sailing High Radio Waves: A Decentralized Cross-Layer Approach to Cooperative Video Transmission. IEEE J. Sel. Areas Commun. Nicholas Mastronarde, Francesco Verde, Donatella Darsena, Anna Scaglione, Mihaela van der Schaar
2011	B	`conf`	A Decentralized Cross-Layer Approach to Cooperative Video Transmission. GLOBECOM Nicholas Mastronarde, Francesco Verde, Donatella Darsena, Anna Scaglione, Mihaela van der Schaar
2011	J	`jnl`	Adaptive MAC Protocols Using Memory for Networks With Critical Traffic. IEEE Trans. Signal Process. Jaeok Park, Mihaela van der Schaar
2011	Misc	`conf`	Adaptive scalable layer filtering process for video scheduling over wireless networks based on MAC buffer management. ICASSP Nesrine Changuel, Nicholas Mastronarde, Mihaela van der Schaar, Bessem Sayadi, Michel Kieffer
2011	—	`conf`	Additively Coupled Sum Constrained Games. GAMENETS Yi Su, Mihaela van der Schaar
2011	J	`jnl`	Autonomic and Distributed Joint Routing and Power Control for Delay-Sensitive Applications in Multi-Hop Wireless Networks. IEEE Trans. Wirel. Commun. Zhichu Lin, Mihaela van der Schaar
2011	J	`jnl`	Cognitive MAC Protocols Using Memory for Distributed Spectrum Sharing Under Limited Spectrum Sensing. IEEE Trans. Commun. Jaeok Park, Mihaela van der Schaar
2011	J	`jnl`	Configuring Trees of Classifiers in Distributed Multimedia Stream Mining Systems. IEEE Trans. Circuits Syst. Video Technol. Brian Foo, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar, Lisa Amini
2011	Misc	`conf`	Content-aware TCP-friendly congestion control for multimedia transmission. ICASSP Hsien-Po Shiang, Mihaela van der Schaar
2011	—	`conf`	Data demand dynamics and profit maximization in communications markets. CDC/ECC Shaolei Ren, Mihaela van der Schaar
2011	B	`conf`	Design and Analysis of Intervention Mechanisms in Power Control Games. GLOBECOM Yuanzhang Xiao, Jaeok Park, Mihaela van der Schaar
2011	J	`jnl`	Designing Exchange for Online Communities CoRR Jie Xu, Mihaela van der Schaar, William R. Zame
2011	—	`conf`	Designing Incentive Schemes Based on Intervention: The Case of Imperfect Monitoring. GAMENETS Jaeok Park, Mihaela van der Schaar
2011	B	`conf`	Designing Incentives for P2P Multimedia Sharing. GLOBECOM Yu Zhang, Mihaela van der Schaar
2011	—	`conf`	Designing Social Norm Based Incentive Schemes to Sustain Cooperation in a Large Community. GAMENETS Yu Zhang, Jaeok Park, Mihaela van der Schaar
2011	J	`jnl`	Editorial. IEEE Trans. Multim. Mihaela van der Schaar
2011	J	`jnl`	Fast Reinforcement Learning for Energy-Efficient Wireless Communication. IEEE Trans. Signal Process. Nicholas Mastronarde, Mihaela van der Schaar
2011	J	`jnl`	Foresighted tree configuration games in resource constrained distributed stream mining sensors. Ad Hoc Networks Hyunggon Park, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar
2011	A*	`conf`	Incentive provision using intervention. INFOCOM Jaeok Park, Mihaela van der Schaar
2011	—	`conf`	Influencing the long-term evolution of online communities using social norms. Allerton Yu Zhang, Mihaela van der Schaar
2011	J	`jnl`	Intervention in Power Control Games With Selfish Users CoRR Yuanzhang Xiao, Jaeok Park, Mihaela van der Schaar
2011	Misc	`conf`	Keynote Abstracts. ICIG Mihaela van der Schaar, Mubarak Shah, Hujun Bao
2011	J	`jnl`	Linearly Coupled Communication Games. IEEE Trans. Commun. Yi Su, Mihaela van der Schaar
2011	J	`jnl`	Markov Decision Process Based Energy-Efficient On-Line Scheduling for Slice-Parallel Video Decoders on Multicore Systems CoRR Nicholas Mastronarde, Karim Kanoun, David Atienza, Pascal Frossard, Mihaela van der Schaar
2011	—	`conf`	Minimizing weighted sum finish time for one-to-many file transfer in peer-to-peer networks. Allerton Bike Xie, Mihaela van der Schaar, Thomas A. Courtade, Richard D. Wesel
2011	J	`jnl`	Peer-to-Peer Multimedia Sharing based on Social Norms CoRR Yu Zhang, Mihaela van der Schaar
2011	J	`jnl`	Pricing and Distributed Power Control in Wireless Relay Networks. IEEE Trans. Signal Process. Shaolei Ren, Mihaela van der Schaar
2011	J	`jnl`	Production and Network Formation Games with Content Heterogeneity CoRR Yu Zhang, Jaeok Park, Mihaela van der Schaar
2011	—	`conf`	Profit maximization on user-generated content platforms. Allerton Shaolei Ren, Jaeok Park, Mihaela van der Schaar
2011	Misc	`conf`	Reinforcement learning for energy-efficient wireless transmission. ICASSP Nicholas Mastronarde, Mihaela van der Schaar
2011	A	`conf`	Reinforcement learning for power management in wireless multimedia communications. ICME Nicholas Mastronarde, Mihaela van der Schaar
2011	A*	`conf`	Reinforcement learning in BitTorrent systems. INFOCOM Rafit Izhak-Ratzin, Hyunggon Park, Mihaela van der Schaar
2011	J	`jnl`	Repeated Games With Intervention: Theory and Applications in Communications CoRR Yuanzhang Xiao, Jaeok Park, Mihaela van der Schaar
2011	J	`jnl`	Reputation-based Incentive Protocols in Crowdsourcing Applications CoRR Yu Zhang, Mihaela van der Schaar
2011	J	`jnl`	Robust Additively Coupled Games CoRR Saeedeh Parsaeefard, Ahmad R. Sharafat, Mihaela van der Schaar
2011	B	`conf`	Robust Equilibria in Additively Coupled Games in Communications Networks. GLOBECOM Saeedeh Parsaeefard, Ahmad R. Sharafat, Mihaela van der Schaar
2011	J	`jnl`	Robust Stackelberg game in communication systems CoRR Saeedeh Parsaeefard, Mihaela van der Schaar, Ahmad R. Sharafat
2011	—	`conf`	Secret information in communications networks. CDC/ECC Khoa Tran Phan, Mihaela van der Schaar, William R. Zame
2011	J	`jnl`	Social Norms for Networked Communities CoRR Yu Zhang, Jaeok Park, Mihaela van der Schaar
2011	Misc	`conf`	Social norm and long-run learning in peer-to-peer networks. ICASSP Yu Zhang, Mihaela van der Schaar
2011	Misc	`conf`	Social norm based incentive mechanisms for peer-to-peer networks. ICASSP Yu Zhang, Jaeok Park, Mihaela van der Schaar
2011	J	`jnl`	Strategic Learning and Robust Protocol Design for Online Communities with Selfish Users CoRR Yu Zhang, Mihaela van der Schaar
2011	—	`conf`	Technology Choices and Pricing Policies in Wireless Networks. GAMENETS Yuanzhang Xiao, William R. Zame, Mihaela van der Schaar
2011	J	`jnl`	The Theory of Intervention Games for Resource Sharing in Wireless Communications CoRR Jaeok Park, Mihaela van der Schaar
2011	B	`conf`	Traffic-Dependent Pricing for Delay-Sensitive Multimedia Networks. GLOBECOM Shaolei Ren, Fangwen Fu, Mihaela van der Schaar
2011	J	`jnl`	Transmitting important bits and sailing high radio waves: a decentralized cross-layer approach to cooperative video transmission CoRR Nicholas Mastronarde, Francesco Verde, Donatella Darsena, Anna Scaglione, Mihaela van der Schaar
2011	—	`conf`	User adaptation and long-run evolution in online communities. CDC/ECC Yu Zhang, Mihaela van der Schaar
2011	A*	`conf`	User subscription dynamics and revenue maximization in communications markets. INFOCOM Shaolei Ren, Jaeok Park, Mihaela van der Schaar
2010	J	`jnl`	A Distributed Approach for Optimizing Cascaded Classifier Topologies in Real-Time Stream Mining Systems. IEEE Trans. Image Process. Brian Foo, Mihaela van der Schaar
2010	J	`jnl`	A Game Theoretic Analysis of Incentives in Content Production and Sharing Over Peer-to-Peer Networks. IEEE J. Sel. Top. Signal Process. Jaeok Park, Mihaela van der Schaar
2010	J	`jnl`	A Low-Complexity Analytical Modeling for Cross-Layer Adaptive Error Protection in Video Over WLAN. IEEE Trans. Multim. Hossein Bobarshad, Mihaela van der Schaar, Mohammad Shikh-Bahaei
2010	Misc	`conf`	A new approach to cross-layer optimization of multimedia systems. ICASSP Nicholas Mastronarde, Mihaela van der Schaar
2010	J	`jnl`	A systematic framework for dynamically optimizing multi-user wireless video transmission. IEEE J. Sel. Areas Commun. Fangwen Fu, Mihaela van der Schaar
2010	J	`jnl`	A unique beamforming-based equilibrium in multi-user random access SIMO networks. IEEE Commun. Lett. Omar A. Nasr, Mihaela van der Schaar, Babak Daneshrad
2010	J	`jnl`	Adaptive MAC Protocols Using Memory for Networks with Critical Traffic CoRR Jaeok Park, Mihaela van der Schaar
2010	J	`jnl`	Adaptive Topologic Optimization for Large-Scale Stream Mining. IEEE J. Sel. Top. Signal Process. Raphael Ducasse, Deepak S. Turaga, Mihaela van der Schaar
2010	—	`conf`	Content Pricing in Peer-to-Peer Networks. NetEcon Jaeok Park, Mihaela van der Schaar
2010	J	`jnl`	Decomposition principles and online learning in cross-layer optimization for delay-sensitive applications. IEEE Trans. Signal Process. Fangwen Fu, Mihaela van der Schaar
2010	Misc	`conf`	Dependent optimal stopping framework for wireless multimedia transmission. ICASSP Fangwen Fu, Mihaela van der Schaar
2010	B	`conf`	Design and Analysis of Defection-Proof MAC Protocols Using a Repeated Game Framework. GLOBECOM Khoa Tran Phan, Jaeok Park, Mihaela van der Schaar
2010	J	`jnl`	Designing Incentive Schemes Based on Intervention: The Case of Imperfect Monitoring CoRR Jaeok Park, Mihaela van der Schaar
2010	J	`jnl`	Designing Incentive Schemes Based on Intervention: The Case of Perfect Monitoring CoRR Jaeok Park, Mihaela van der Schaar
2010	A*	`conf`	Designing and optimizing large-scale multimedia mining applications in distributed processing environments. ACM Multimedia Deepak S. Turaga, Mihaela van der Schaar
2010	J	`jnl`	Distributed power allocation in multi-user multi-channel cellular relay networks. IEEE Trans. Wirel. Commun. Shaolei Ren, Mihaela van der Schaar
2010	J	`jnl`	Dynamic conjectures in random access networks using bio-inspired learning. IEEE J. Sel. Areas Commun. Yi Su, Mihaela van der Schaar
2010	A*	`conf`	End-to-end stochastic scheduling of scalable video overtime-varying channels. ACM Multimedia Nesrine Changuel, Nicholas Mastronarde, Mihaela van der Schaar, Bessem Sayadi, Michel Kieffer
2010	J	`jnl`	Evolution of resource reciprocation strategies in P2P networks. IEEE Trans. Signal Process. Hyunggon Park, Mihaela van der Schaar
2010	J	`jnl`	Fairness Strategies for Wireless Resource Allocation Among Autonomous Multimedia Users. IEEE Trans. Circuits Syst. Video Technol. Hyunggon Park, Mihaela van der Schaar
2010	J	`jnl`	Fast Reinforcement Learning for Energy-Efficient Wireless Communications CoRR Nicholas Mastronarde, Mihaela van der Schaar
2010	J	`jnl`	Information-Constrained Resource Allocation in Multicamera Wireless Surveillance Networks. IEEE Trans. Circuits Syst. Video Technol. Hsien-Po Shiang, Mihaela van der Schaar
2010	J	`jnl`	Intervention Mechanism Design for Networks With Selfish Users CoRR Jaeok Park, Mihaela van der Schaar
2010	—	`conf`	Linearly coupled communication games. Allerton Yi Su, Mihaela van der Schaar
2010	J	`jnl`	MAC Layer Jamming Mitigation Using a Game Augmented by Intervention. EURASIP J. Wirel. Commun. Netw. Zhichu Lin, Mihaela van der Schaar
2010	J	`jnl`	Medium Access Control Protocols With Memory. IEEE/ACM Trans. Netw. Jaeok Park, Mihaela van der Schaar
2010	J	`jnl`	Minimizing weighted sum delay for one-to-many file transfer in peer-to-peer networks CoRR Bike Xie, Mihaela van der Schaar, Richard D. Wesel
2010	J	`jnl`	Near-Optimal Deviation-Proof Medium Access Control Designs in Wireless Networks CoRR Khoa Tran Phan, Jaeok Park, Mihaela van der Schaar
2010	J	`jnl`	On-line learning and optimization for wireless video transmission. IEEE Trans. Signal Process. Yu Zhang, Fangwen Fu, Mihaela van der Schaar
2010	J	`jnl`	Online Reinforcement Learning for Dynamic Multimedia Systems. IEEE Trans. Image Process. Nicholas Mastronarde, Mihaela van der Schaar
2010	A	`conf`	Online layered learning for cross-layer optimization of dynamic multimedia systems. MMSys Nicholas Mastronarde, Mihaela van der Schaar
2010	J	`jnl`	Online learning in autonomic multi-hop wireless networks for transmitting mission-critical applications. IEEE J. Sel. Areas Commun. Hsien-Po Shiang, Mihaela van der Schaar
2010	Misc	`conf`	Online reinforcement learning for multimedia buffer control. ICASSP Nicholas Mastronarde, Mihaela van der Schaar
2010	J	`jnl`	Optimality and Improvement of Dynamic Voltage Scaling Algorithms for Multimedia Applications. IEEE Trans. Circuits Syst. I Regul. Pap. Zhen Cao, Brian Foo, Lei He, Mihaela van der Schaar
2010	B	`conf`	Ordering of stream mining classifiers. ICIP Raphael Ducasse, Deepak S. Turaga, Mihaela van der Schaar
2010	—	`conf`	Pricing and Distributed Power Control for Relay Networks. ICC Shaolei Ren, Mihaela van der Schaar
2010	A*	`conf`	Pricing and Incentives in Peer-to-Peer Networks. INFOCOM Jaeok Park, Mihaela van der Schaar
2010	J	`jnl`	Reinforcement Learning in BitTorrent Systems CoRR Rafit Izhak-Ratzin, Hyunggon Park, Mihaela van der Schaar
2010	Misc	`conf`	Sailing good radio waves and transmitting important bits: Relay cooperation in wireless video transmission. ICASSP Nicholas Mastronarde, Mihaela van der Schaar, Anna Scaglione, Francesco Verde, Donatella Darsena
2010	—	`conf`	Software adaptation in quality sensitive applications to deal with hardware variability. ACM Great Lakes Symposium on VLSI Aashish Pant, Puneet Gupta, Mihaela van der Schaar
2010	J	`jnl`	Structural Solutions For Additively Coupled Sum Constrained Games CoRR Yi Su, Mihaela van der Schaar
2010	J	`jnl`	Structural Solutions to Dynamic Scheduling for Multimedia Transmission in Unknown Wireless Environments CoRR Fangwen Fu, Mihaela van der Schaar
2010	J	`jnl`	Structure-Aware Stochastic Control for Transmission Scheduling CoRR Fangwen Fu, Mihaela van der Schaar
2010	J	`jnl`	Technology Choices and Pricing Policies in Public and Private Wireless Networks CoRR Yuanzhang Xiao, William R. Zame, Mihaela van der Schaar
2010	B	`conf`	Towards Efficient, Stable, and Fair Random Access Networks: A Conjectural Equilibrium Approach. GLOBECOM Yi Su, Mihaela van der Schaar
2010	B	`conf`	User Subscription Dynamics in Communication Markets. GLOBECOM Shaolei Ren, Jaeok Park, Mihaela van der Schaar
2009	J	`jnl`	A Framework for Foresighted Resource Reciprocation in P2P Networks. IEEE Trans. Multim. Hyunggon Park, Mihaela van der Schaar
2009	J	`jnl`	A Game Theoretic Analysis of Incentives in Content Production and Sharing over Peer-to-Peer Networks CoRR Jaeok Park, Mihaela van der Schaar
2009	J	`jnl`	A New Systematic Framework for Autonomous Cross-Layer Optimization. IEEE Trans. Veh. Technol. Fangwen Fu, Mihaela van der Schaar
2009	J	`jnl`	A Rules-Based Approach for Configuring Chains of Classifiers in Real-Time Stream Mining Systems. EURASIP J. Adv. Signal Process. Brian Foo, Mihaela van der Schaar
2009	J	`jnl`	A Systematic Framework for Dynamically Optimizing Multi-User Wireless Video Transmission CoRR Fangwen Fu, Mihaela van der Schaar
2009	Misc	`conf`	A framework for distributed multimedia stream mining systems using coalition-based foresighted strategies. ICASSP Hyunggon Park, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar
2009	J	`jnl`	A new perspective on multi-user power control games in interference channels. IEEE Trans. Wirel. Commun. Yi Su, Mihaela van der Schaar
2009	—	`conf`	Achieving coordination in random access networks without explicit message passing. GAMENETS Jaeok Park, Mihaela van der Schaar
2009	J	`jnl`	Automated Bidding for Media Services at the Edge of a Content Delivery Network. IEEE Trans. Multim. Nicholas Mastronarde, Mihaela van der Schaar
2009	J	`jnl`	Coalition-Based Resource Negotiation for Multimedia Applications in Informationally Decentralized Networks. IEEE Trans. Multim. Hyunggon Park, Mihaela van der Schaar
2009	J	`jnl`	Cognitive MAC Protocols Using Memory for Distributed Spectrum Sharing under Limited Spectrum Sensing CoRR Jaeok Park, Mihaela van der Schaar
2009	B	`conf`	Conjectural Equilibrium in Water-Filling Games. GLOBECOM Yi Su, Mihaela van der Schaar
2009	J	`jnl`	Conjectural equilibrium in multiuser power control games. IEEE Trans. Signal Process. Yi Su, Mihaela van der Schaar
2009	—	`conf`	Conjecture-based channel selection game for delay-sensitive users in multi-channel wireless networks. GAMENETS Hsien-Po Shiang, Mihaela van der Schaar
2009	J	`jnl`	Cross Layer Design and Analysis of Multiuser Wireless Video Streaming Over 802.11e EDCA. IEEE Signal Process. Lett. Ju-Lan Hsu, Mihaela van der Schaar
2009	J	`jnl`	Designing autonomous layered video coders. Signal Process. Image Commun. Nicholas Mastronarde, Mihaela van der Schaar
2009	J	`jnl`	Distributed Resource Management in Multihop Cognitive Radio Networks for Delay-Sensitive Transmission. IEEE Trans. Veh. Technol. Hsien-Po Shiang, Mihaela van der Schaar
2009	J	`jnl`	Dynamic Conjectures in Random Access Networks Using Bio-inspired Learning CoRR Yi Su, Mihaela van der Schaar
2009	B	`conf`	Efficient resource management with reduced overhead information. PIMRC Shin Jae Kang, Yun-Jae Won, Dai-Gil Kwon, Kyeung-Hak Seo, Seung-ok Lim, Mihaela van der Schaar
2009	Misc	`conf`	Evolution of social P2P networks based on the dynamics of heterogeneous multimedia peers. ICASSP Hyunggon Park, Mihaela van der Schaar
2009	J	`jnl`	Feedback-Driven Interactive Learning in Dynamic Wireless Resource Management for Delay-Sensitive Users. IEEE Trans. Veh. Technol. Hsien-Po Shiang, Mihaela van der Schaar
2009	—	`conf`	From competition to coopetition: Stackelberg equilibrium in multi-user power control games. GAMENETS Yi Su, Mihaela van der Schaar
2009	J	`jnl`	Informationally Decentralized System Resource Management for Multiple Multimedia Tasks. IEEE Trans. Circuits Syst. Video Technol. Brian Foo, Mihaela van der Schaar
2009	J	`jnl`	Learning to Compete for Resources in Wireless Stochastic Games. IEEE Trans. Veh. Technol. Fangwen Fu, Mihaela van der Schaar
2009	J	`jnl`	Linearly Coupled Communication Games CoRR Yi Su, Mihaela van der Schaar
2009	J	`jnl`	Media-TCP: A Quality-Centric TCP-Friendly Congestion Control for Multimedia Transmission CoRR Hsien-Po Shiang, Mihaela van der Schaar
2009	J	`jnl`	Medium Access Control Protocols With Memory CoRR Jaeok Park, Mihaela van der Schaar
2009	J	`jnl`	Minimum Required Learning and Impact of Information Feedback Delay for Cognitive Users. IEEE Trans. Veh. Technol. Yi Su, Mihaela van der Schaar
2009	J	`jnl`	Mission-Aware Medium Access Control in Random Access Networks CoRR Jaeok Park, Mihaela van der Schaar
2009	J	`jnl`	On the Correlated Equilibrium Selection for Two-User Channel Access Games. IEEE Signal Process. Lett. Zhichu Lin, Mihaela van der Schaar
2009	J	`jnl`	On the Impact of Bounded Rationality in Peer-to-Peer Networks. IEEE Signal Process. Lett. Hyunggon Park, Mihaela van der Schaar
2009	J	`jnl`	Online Reinforcement Learning for Dynamic Multimedia Systems CoRR Nicholas Mastronarde, Mihaela van der Schaar
2009	J	`jnl`	Predictive Spectrum Access for Multimedia Users over Multi-Channel Wireless Networks. J. Commun. Hsien-Po Shiang, Wenchi Tu, Mihaela van der Schaar
2009	J	`jnl`	Quality-Based Resource Brokerage for Autonomous Networked Multimedia Applications. IEEE Trans. Circuits Syst. Video Technol. Hyunggon Park, Mihaela van der Schaar
2009	A	`conf`	Resource-adaptive multimedia analysis on stream mining systems. ICME Deepak S. Turaga, Rong Yan, Olivier Verscheure, Brian Foo, Fangwen Fu, Hyunggon Park, Mihaela van der Schaar
2009	—	`conf`	Revenue maximization and distributed power allocation in cognitive radio networks. CoRoNet@MobiCom Shaolei Ren, Mihaela van der Schaar
2009	J	`jnl`	Spectrum Access Games and Strategic Learning in Cognitive Radio Networks for Delay-Critical Applications. Proc. IEEE Mihaela van der Schaar, Fangwen Fu
2009	J	`jnl`	Stackelberg Contention Games in Multiuser Networks. EURASIP J. Adv. Signal Process. Jaeok Park, Mihaela van der Schaar
2009	J	`jnl`	Statistical Framework for Video Decoding Complexity Modeling and Prediction. IEEE Trans. Circuits Syst. Video Technol. N. Kontorinis, Yiannis Andreopoulos, Mihaela van der Schaar
2009	J	`jnl`	Structural Solutions for Cross-Layer Optimization of Wireless Multimedia Transmission CoRR Fangwen Fu, Mihaela van der Schaar
2009	—	`conf`	Topology selection for stream mining systems. LS-MMRM@ACM Multimedia Raphael Ducasse, Deepak S. Turaga, Mihaela van der Schaar
2009	J	`jnl`	Towards a General Framework for Cross-Layer Decision Making in Multimedia Systems. IEEE Trans. Circuits Syst. Video Technol. Nicholas Mastronarde, Mihaela van der Schaar
2009	Misc	`conf`	Tree configuration games for distributed stream mining systems. ICASSP Hyunggon Park, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar
2008	J	`jnl`	A Bargaining Theoretic Approach to Quality-Fair System Resource Allocation for Multiple Decoding Tasks. IEEE Trans. Circuits Syst. Video Technol. Nicholas Mastronarde, Mihaela van der Schaar
2008	—	`conf`	A New Look at Multi-User Power Control Games. ICC Yi Su, Mihaela van der Schaar
2008	J	`jnl`	A Queuing Theoretic Approach to Processor Power Adaptation for Video Decoding Systems. IEEE Trans. Signal Process. Brian Foo, Mihaela van der Schaar
2008	J	`jnl`	A Simple Characterization of Strategic Behaviors in Broadcast Channels. IEEE Signal Process. Lett. Yi Su, Mihaela van der Schaar
2008	B	`conf`	A new theoretic framework for cross-layer optimization. ICIP Fangwen Fu, Mihaela van der Schaar
2008	B	`conf`	A scalable complexity specification for video applications. ICIP Nicholas Mastronarde, Mihaela van der Schaar
2008	J	`jnl`	Analytical Framework for Optimizing Weighted Average Download Time in Peer-to-Peer Networks CoRR Bike Xie, Mihaela van der Schaar, Richard D. Wesel
2008	J	`jnl`	Analytical Rate-Distortion-Complexity Modeling of Wavelet-Based Video Coders. IEEE Trans. Signal Process. Brian Foo, Yiannis Andreopoulos, Mihaela van der Schaar
2008	J	`jnl`	Coalition-Based Resource Reciprocation Strategies for P2P Multimedia Broadcasting. IEEE Trans. Broadcast. Hyunggon Park, Mihaela van der Schaar
2008	J	`jnl`	Compression-Aware Energy Optimization for Video Decoding Systems With Passive Power. IEEE Trans. Circuits Syst. Video Technol. Emrah Akyol, Mihaela van der Schaar
2008	J	`jnl`	Conjectural Equilibrium in Water-filling Games CoRR Yi Su, Mihaela van der Schaar
2008	J	`jnl`	Decentralized Knowledge and Learning in Strategic Multi-user Communication CoRR Yi Su, Mihaela van der Schaar
2008	J	`jnl`	Decomposition Principles and Online Learning in Cross-Layer Optimization for Delay-Sensitive Applications CoRR Fangwen Fu, Mihaela van der Schaar
2008	B	`conf`	Distributed Spectrum Allocation of Delay-Sensitive Users over Multi-User Multi-Carrier Networks. GLOBECOM Wenchi Tu, Mihaela van der Schaar
2008	—	`conf`	Dynamic Resource Allocation of Delay Sensitive Users Using Interactive Learning over Multi-Carrier Networks. ICC Hsien-Po Shiang, Wenchi Tu, Mihaela van der Schaar
2008	—	`conf`	Dynamic Spectrum Sharing Using Learning for Delay-Sensitive Applications. ICC Fangwen Fu, Mihaela van der Schaar
2008	B	`conf`	Dynamic channel selection for multi-user video streaming over cognitive radio networks. ICIP Hsien-Po Shiang, Mihaela van der Schaar
2008	B	`conf`	Foresighted Resource Reciprocation Strategies in P2P Networks. GLOBECOM Hyunggon Park, Mihaela van der Schaar
2008	J	`jnl`	Incremental Refinement of Computation for the Discrete Wavelet Transform. IEEE Trans. Signal Process. Yiannis Andreopoulos, Mihaela van der Schaar
2008	B	`conf`	Information-driven resource negotiation strategies for multimedia applications. ICIP Hyunggon Park, Mihaela van der Schaar
2008	J	`jnl`	Multiuser Multimedia Resource Allocation Over Multicarrier Wireless Networks. IEEE Trans. Signal Process. Yi Su, Mihaela van der Schaar
2008	J	`jnl`	On the Application of Game-Theoretic Mechanism Design for Resource Allocation in Multimedia Systems. IEEE Trans. Multim. Shih-Chung Su, Mihaela van der Schaar
2008	J	`jnl`	Optimal Resource Allocation for Multimedia Applications over Multiaccess Fading Channels. IEEE Trans. Wirel. Commun. Cong Shen, Mihaela van der Schaar
2008	A*	`conf`	Optimality and improvement of dynamic voltage scaling algorithms for multimedia applications. DAC Zhen Cao, Brian Foo, Lei He, Mihaela van der Schaar
2008	J	`jnl`	Queuing-Based Dynamic Channel Selection for Heterogeneous Multimedia Applications Over Cognitive Radio Networks. IEEE Trans. Multim. Hsien-Po Shiang, Mihaela van der Schaar
2008	—	`conf`	Resource Allocation for Multi-User Video Transmission over Multi-Carrier Networks. ICC Yi Su, Mihaela van der Schaar
2008	J	`jnl`	Resource Constrained Stream Mining With Classifier Tree Topologies. IEEE Signal Process. Lett. Brian Foo, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar, Lisa Amini
2008	J	`jnl`	Stackelberg Contention Games in Multi-User Networks CoRR Jaeok Park, Mihaela van der Schaar
2008	J	`jnl`	Stochastic Optimization for Content Sharing in P2P Systems. IEEE Trans. Multim. Mihaela van der Schaar, Deepak S. Turaga, Ritesh Sood
2007	J	`jnl`	A New Perspective on Multi-user Power Control Games in Interference Channels CoRR Yi Su, Mihaela van der Schaar
2007	J	`jnl`	A New Theoretic Foundation for Cross-Layer Optimization CoRR Fangwen Fu, Mihaela van der Schaar
2007	J	`jnl`	A Pricing Mechanism for Resource Allocation in Wireless Multimedia Applications. J. Sel. Topics Signal Processing Fangwen Fu, Tudor M. Stoenescu, Mihaela van der Schaar
2007	J	`jnl`	A Queuing-Theoretic Approach to Task Scheduling and Processor Selection for Video-Decoding Applications. IEEE Trans. Multim. Nicholas Mastronarde, Mihaela van der Schaar
2007	J	`jnl`	A Simple Characterization of Strategic Behaviors in Broadcast Channels CoRR Yi Su, Mihaela van der Schaar
2007	J	`jnl`	Adaptive Linear Prediction for Resource Estimation of Video Decoding. IEEE Trans. Circuits Syst. Video Technol. Yiannis Andreopoulos, Mihaela van der Schaar
2007	—	`conf`	Analytical Complexity Modeling of Wavelet-based Video Coders. ICASSP (3) Brian Foo, Yiannis Andreopoulos, Mihaela van der Schaar
2007	J	`jnl`	Bargaining Strategies for Networked Multimedia Resource Management. IEEE Trans. Signal Process. Hyunggon Park, Mihaela van der Schaar
2007	—	`conf`	Buffer Constrained Proactive Dynamic Voltage Scaling for Video Decoding Systems. ICIP (6) Emrah Akyol, Mihaela van der Schaar
2007	J	`jnl`	Collaborative resource exchanges for peer-to-peer video streaming over wireless mesh networks. IEEE J. Sel. Areas Commun. Nicholas Mastronarde, Deepak S. Turaga, Mihaela van der Schaar
2007	J	`jnl`	Complexity Model Based Proactive Dynamic Voltage Scaling for Video Decoding Systems. IEEE Trans. Multim. Emrah Akyol, Mihaela van der Schaar
2007	J	`jnl`	Complexity-Constrained Video Bitstream Shaping. IEEE Trans. Signal Process. Yiannis Andreopoulos, Mihaela van der Schaar
2007	J	`jnl`	Configuring Competing Classifier Chains in Distributed Stream Mining Systems. J. Sel. Topics Signal Processing Fangwen Fu, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar, Lisa Amini
2007	—	`conf`	Configuring Networked Classifiers in Distributed and Resource Constrained Stream Processing Systems. ICASSP (3) Fangwen Fu, Deepak S. Turaga, Olivier Verscheure, Mihaela van der Schaar, Lisa Amini
2007	J	`jnl`	Cross-Layer Optimized Wireless Multimedia Communications. Adv. Multim. Zhu Han, Haohong Wang, Dapeng Oliver Wu, Jianwei Huang, Mihaela van der Schaar
2007	J	`jnl`	Cross-Layer Packetization and Retransmission Strategies for Delay-Sensitive Wireless Multimedia Transmission. IEEE Trans. Multim. Mihaela van der Schaar, Deepak S. Turaga
2007	J	`jnl`	Distortion-Driven Video Streaming over Multihop Wireless Networks with Path Diversity. IEEE Trans. Mob. Comput. Xiaolin Tong, Yiannis Andreopoulos, Mihaela van der Schaar
2007	—	`conf`	Fairness Strategies for Multi-user Multimedia Applications in Competitive Environments using the Kalai-Smorodinsky Bargaining Solution. ICASSP (2) Hyunggon Park, Mihaela van der Schaar
2007	J	`jnl`	Generalized Phase Shifting for M-Band Discrete Wavelet Packet Transforms. IEEE Trans. Signal Process. Yiannis Andreopoulos, Mihaela van der Schaar
2007	—	`conf`	Graceful Quality Degradation for Video Decoding Systems Through Priority Scheduling and Processor Power Adaptation. ICIP (3) Brian Foo, Mihaela van der Schaar
2007	—	`conf`	Incremental Refinement of Computation for the Discrete Wavelet Transform. ICIP (4) Yiannis Andreopoulos, Mihaela van der Schaar
2007	J	`jnl`	Informationally Decentralized Video Streaming Over Multihop Wireless Networks. IEEE Trans. Multim. Hsien-Po Shiang, Mihaela van der Schaar
2007	J	`jnl`	Learning for Dynamic Bidding in Cognitive Radio Resources CoRR Fangwen Fu, Mihaela van der Schaar
2007	J	`jnl`	Mechanism-based resource allocation for multimedia transmission over spectrum agile wireless networks. IEEE J. Sel. Areas Commun. Ahmad Reza Fattahi, Fangwen Fu, Mihaela van der Schaar, Fernando Paganini
2007	—	`conf`	Multi-User Multimedia Resource Management using Nash Bargaining Solution. ICASSP (2) Hyunggon Park, Mihaela van der Schaar
2007	J	`jnl`	Multi-user video streaming over multi-hop wireless networks: a distributed, cross-layer approach based on priority queuing. IEEE J. Sel. Areas Commun. Hsien-Po Shiang, Mihaela van der Schaar
2007	J	`jnl`	Noncollaborative Resource Management for Wireless Multimedia Applications Using Mechanism Design. IEEE Trans. Multim. Fangwen Fu, Mihaela van der Schaar
2007	—	`conf`	Optimal Resource Allocation in Wireless Multiaccess Video Transmissions. ICC Cong Shen, Mihaela van der Schaar
2007	J	`jnl`	Performance Analysis of Video Transmission Over IEEE 802.11a/e WLANs. IEEE Trans. Veh. Technol. Sai Shankar N., Mihaela van der Schaar
2007	J	`jnl`	Rate Allocation for Noncollaborative Multiuser Speech Communication Systems Based on Bargaining Theory. IEEE Trans. Speech Audio Process. Bengt J. Borgstrom, Mihaela van der Schaar, Abeer Alwan
2007	J	`jnl`	Streaming-Viability Analysis and Packet Scheduling for Video Over In-Vehicle Wireless Networks. IEEE Trans. Veh. Technol. Qiong Li, Yiannis Andreopoulos, Mihaela van der Schaar
2006	J	`jnl`	3-band motion-compensated temporal structures for scalable video coding. IEEE Trans. Image Process. Christophe Tillier, Béatrice Pesquet-Popescu, Mihaela van der Schaar
2006	C	`conf`	A 5-band Temporal Lifting Scheme for Video Surveillance. MMSP Maria Trocan, Christophe Tillier, Béatrice Pesquet-Popescu, Mihaela van der Schaar
2006	J	`jnl`	Classification-Based System For Cross-Layer Optimized Wireless Video Transmission. IEEE Trans. Multim. Mihaela van der Schaar, Deepak S. Turaga, Raymond Wong
2006	B	`conf`	Collaborative Resource Management for Video Over Wireless Multi-Hop Mesh Networks. ICIP Nicholas Mastronarde, Deepak S. Turaga, Mihaela van der Schaar
2006	J	`jnl`	Cross-Layer Optimized Video Streaming Over Wireless Multihop Mesh Networks. IEEE J. Sel. Areas Commun. Yiannis Andreopoulos, Nicholas Mastronarde, Mihaela van der Schaar
2006	—	`conf`	Cross-layer Video Streaming Over 802.11e-Enabled Wireless Mesh Networks. ICASSP (5) Nicholas Mastronarde, Yiannis Andreopoulos, Mihaela van der Schaar, Dilip Krishnaswamy, John B. Vicente
2006	J	`jnl`	Failure-Aware, Open-Loop, Adaptive Video Streaming With Packet-Level Optimized Redundancy. IEEE Trans. Multim. Yiannis Andreopoulos, Ram Keralapura, Mihaela van der Schaar, Chen-Nee Chuah
2006	A	`conf`	Game-Theoretic Paradigm for Resource Management in Spectrum Agile Wireless Networks. ICME Fangwen Fu, Ahmad Reza Fattahi, Mihaela van der Schaar
2006	—	`book`	MPEG-4 Beyond Conventional Video Coding: Object Coding, Resilience, and Scalability MPEG-4 Beyond Conventional Video Coding Mihaela van der Schaar, Deepak S. Turaga, Thomas Stockhammer
2006	J	`jnl`	Model-based joint source channel coding for subband video. IEEE Signal Process. Lett. Mingshi Wang, Mihaela van der Schaar
2006	—	`conf`	Multi-user Video Streaming over Multi-hop Wireless Networks: A Cross-Layer Priority Queuing Scheme. IIH-MSP Hsien-Po Shiang, Mihaela van der Schaar
2006	J	`jnl`	Operational rate-distortion modeling for wavelet video coders. IEEE Trans. Signal Process. Mingshi Wang, Mihaela van der Schaar
2006	J	`jnl`	Optimized Scalable Video Streaming over IEEE 802.11a/e HCCA Wireless Networks under Delay Constraints. IEEE Trans. Mob. Comput. Mihaela van der Schaar, Yiannis Andreopoulos, Zhiping Hu
2006	—	`conf`	Scalable Resource Management for Video Streaming Over IEEE802.11A/E. ICASSP (5) Yiannis Andreopoulos, Mihaela van der Schaar, Zhiping Hu, S. Heo, S. Suh
2005	—	`conf`	A layered complexity-aware scalable video encryption scheme. Electronic Imaging: Image and Video Communications and Processing Liping Guo, Mihaela van der Schaar, Debargha Mukherjee
2005	J	`jnl`	Classification-based multidimensional adaptation prediction for scalable video coding using subjective quality evaluation. IEEE Trans. Circuits Syst. Video Technol. Yong Wang, Mihaela van der Schaar, Shih-Fu Chang, Alexander C. Loui
2005	—	`conf`	Combined data partitioning and fine granularity scalability for channel adaptive video transmission. Electronic Imaging: Image and Video Communications and Processing Karl Wittig, Yingwei Chen, Mihaela van der Schaar
2005	—	`conf`	Compact dependent key generation methods for encryption-based subscription differentiation for scalable bit-streams. ICIP (2) Debargha Mukherjee, Mihaela van der Schaar
2005	—	`conf`	Complexity metric driven energy optimization framework for implementing MPEG-21 scalable video decoders. ICASSP (2) Gouri Landge, Mihaela van der Schaar, Venkatesh Akella
2005	J	`jnl`	Complexity scalable motion compensated wavelet video encoding. IEEE Trans. Circuits Syst. Video Technol. Deepak S. Turaga, Mihaela van der Schaar, Béatrice Pesquet-Popescu
2005	—	`conf`	Cross-layer aware packetization strategies for optimized wireless multimedia transmission. ICIP (1) Deepak S. Turaga, Mihaela van der Schaar
2005	—	`conf`	Cross-layer resource allocation for delay constrained wireless video transmission. ICASSP (5) Anna Scaglione, Mihaela van der Schaar
2005	J	`jnl`	Cross-layer wireless multimedia transmission: challenges, principles, and new paradigms. IEEE Wirel. Commun. Mihaela van der Schaar, Sai Shankar Nandagopalan
2005	A	`conf`	Enterprise multimedia streaming: issues, background and new developments. ICME Deepak S. Turaga, Mihaela van der Schaar, Krishna Ratakonda
2005	—	`conf`	Generic modeling of complexity for motion-compensated wavelet video decoders. Electronic Imaging: Image and Video Communications and Processing Gouri Landge, Mihaela van der Schaar, Venkatesh Akella
2005	J	`jnl`	Improved update operators for lifting-based motion-compensated temporal filtering. IEEE Signal Process. Lett. Christophe Tillier, Béatrice Pesquet-Popescu, Mihaela van der Schaar
2005	—	`conf`	Integrated application MAC modeling for cross-layer optimized wireless video. ICC Raymond Wong, Sai Shankar Nandagopalan, Mihaela van der Schaar
2005	—	`conf`	Integrated multi-objective cross-layer optimization for wireless multimedia transmission. ISCAS (4) Mihaela van der Schaar, A. Murat Tekalp
2005	—	`conf`	New fairness paradigms for wireless multimedia communication. ICIP (3) Mihaela van der Schaar, Sai Shankar N.
2005	—	`conf`	Optimal Upload Policies for P2P Networks with System Imposed Constraints. ICASSP (2) Ritesh Sood, Mihaela van der Schaar
2005	A	`conf`	Optimized wireless video transmission using classification. ICME Raymond S. Wong, Mihaela van der Schaar, Deepak S. Turaga
2005	A	`conf`	Proactive Energy Optimization Algorithms for Wavelet-Based Video Codecs on Power-Aware Processors. ICME Venkatesh Akella, Mihaela van der Schaar, Wen-Fu Kao
2005	—	`conf`	Rate-Distortion Modeling for Wavelet Video Coders. ICASSP (2) Mingshi Wang, Mihaela van der Schaar
2005	J	`jnl`	Rate-distortion-complexity modeling for network and receiver aware adaptation. IEEE Trans. Multim. Mihaela van der Schaar, Yiannis Andreopoulos
2005	J	`jnl`	Unconstrained motion compensated temporal filtering (UMCTF) for efficient and flexible interframe wavelet video coding. Signal Process. Image Commun. Deepak S. Turaga, Mihaela van der Schaar, Yiannis Andreopoulos, Adrian Munteanu, Peter Schelkens
2004	C	`conf`	Adaptive modulated scalable video transmission over wireless networks with a game theoretic approach. MMSP Dilip Krishnaswamy, Mihaela van der Schaar
2004	C	`conf`	Arithmetic coding with adaptive context-tree weighting for the H.264 video coders. VCIP Danny Hong, Mihaela van der Schaar, Béatrice Pesquet-Popescu
2004	J	`jnl`	Editorial. EURASIP J. Adv. Signal Process. Zixiang Xiong, Mihaela van der Schaar, Jie Chen, Eckehard G. Steinbach, C.-C. Jay Kuo, Ming-Ting Sun
2004	—	`conf`	Error protection of video over wireless local area networks through real-time retry limit adaptation. ICASSP (5) Qiong Li, Mihaela van der Schaar
2004	—	`conf`	Fine-granular-scalability video streaming over wireless LANs using cross layer error control. ICASSP (5) Xiaofeng Xu, Mihaela van der Schaar, Santhana Krishnamachari, Sunghyun Choi, Yao Wang
2004	—	`conf`	Highly scalable video coding by bidirectional predict-update 3-band schemes. ICASSP (3) Christophe Tillier, Béatrice Pesquet-Popescu, Mihaela van der Schaar
2004	J	`jnl`	In-band motion compensated temporal filtering. Signal Process. Image Commun. Yiannis Andreopoulos, Adrian Munteanu, Joeri Barbarien, Mihaela van der Schaar, Jan Cornelis, Peter Schelkens
2004	J	`jnl`	Interframe wavelet coding - motion picture representation for universal scalability. Signal Process. Image Commun. Jens-Rainer Ohm, Mihaela van der Schaar, John W. Woods
2004	B	`conf`	Joint data compression and error protection for collaborative transmission. ICIP Haitong Sun, Mihaela van der Schaar, Zhi Ding
2004	—	`conf`	Multiple descriptions scalable video coding. EUSIPCO Christophe Tillier, Béatrice Pesquet-Popescu, Mihaela van der Schaar
2004	C	`conf`	Predicting optimal operation of MC-3DSBC multidimensional scalable video coding using subjective quality measurement. VCIP Yong Wang, Tian-Tsong Ng, Mihaela van der Schaar, Shih-Fu Chang
2004	J	`jnl`	Providing adaptive QoS to layered video over wireless local area networks through real-time retry limit adaptation. IEEE Trans. Multim. Qiong Li, Mihaela van der Schaar
2004	B	`conf`	Rate-distortion-complexity adaptive video compression and streaming. ICIP Mihaela van der Schaar, Deepak S. Turaga, Venkatesh Akella
2004	B	`conf`	Real-time ubiquitous multimedia streaming using rate-distortion-complexity models. GLOBECOM Mihaela van der Schaar, Yiannis Andreopoulos, Qiong Li
2004	C	`conf`	Reduced complexity genetic algorithm for motion estimation. VCIP Rahul Khanna, Mihaela van der Schaar
2004	J	`jnl`	Scalable Video Transcaling for the Wireless Internet. EURASIP J. Adv. Signal Process. Hayder Radha, Mihaela van der Schaar, Shirish Karande
2004	—	`conf`	Scalable motion vector coding for MC-EZBC. EUSIPCO Zhiping Hu, Mihaela van der Schaar, Béatrice Pesquet-Popescu
2004	B	`conf`	Weighted average spatio-temporal update operator for subband video coding. ICIP Christophe Tillier, Béatrice Pesquet-Popescu, Mihaela van der Schaar
2003	J	`jnl`	Adaptive cross-layer protection strategies for robust scalable video transmission over 802.11 WLANs. IEEE J. Sel. Areas Commun. Mihaela van der Schaar, Santhana Krishnamachari, Sunghyun Choi, Xiaofeng Xu
2003	A	`conf`	Adaptive error control for fine-granular-scalability video coding over IEEE 802.11 wireless LANs. ICME Xiaofeng Xu, Mihaela van der Schaar, Santhana Krishnamachari, Sunghyun Choi, Yao Wang
2003	C	`conf`	Adaptive overcomplete wavelet video coding with spatial transcaling. VCIP Mihaela van der Schaar, Jong C. Ye, Hayder Radha
2003	C	`conf`	Complete-to-overcomplete discrete wavelet transforms for scalable video coding with MCTF. VCIP Yiannis Andreopoulos, Mihaela van der Schaar, Adrian Munteanu, Joeri Barbarien, Peter Schelkens, Jan Cornelis
2003	—	`conf`	Content-adaptive filtering in the UMCTF framework. ICASSP (3) Deepak S. Turaga, Mihaela van der Schaar
2003	A	`conf`	Content-adaptive filtering in the UMCTF framework. ICME Deepak S. Turaga, Mihaela van der Schaar
2003	—	`conf`	Control of the distortion variation in video coding systems based on motion compensated temporal filtering. ICIP (2) Adrian Munteanu, Yiannis Andreopoulos, Mihaela van der Schaar, Peter Schelkens, Jan Cornelis
2003	C	`conf`	Fully scalable 3D overcomplete wavelet video coding using adaptive motion compensated temporal filtering. VCIP Jong C. Ye, Mihaela van der Schaar
2003	—	`conf`	Fully-scalable wavelet video coding using in-band motion compensated temporal filtering. ICASSP (3) Yiannis Andreopoulos, Mihaela van der Schaar, Adrian Munteanu, Joeri Barbarien, Peter Schelkens, Jan Cornelis
2003	—	`conf`	Multiple description scalable coding using wavelet-based motion compensated temporal filtering. ICIP (3) Deepak S. Turaga, Mihaela van der Schaar
2003	A	`conf`	Reduced complexity spatio-temporal scalable motion compensated wavelet video encoding. ICME Deepak S. Turaga, Mihaela van der Schaar
2003	—	`conf`	Spatio-temporal-SNR scalable wavelet coding with motion-compensated DCT base-layer architectures. ICIP (2) Yiannis Andreopoulos, Mihaela van der Schaar, Adrian Munteanu, Peter Schelkens, Jan Cornelis
2003	—	`conf`	Temporal prediction and differential coding of motion vectors in the MCTF framework. ICIP (2) Deepak S. Turaga, Mihaela van der Schaar, Béatrice Pesquet-Popescu
2003	—	`conf`	Unconstrained motion compensated temporal filtering (UMCTF) framework for wavelet video coding. ICASSP (3) Mihaela van der Schaar, Deepak S. Turaga
2003	A	`conf`	Unconstrained motion compensated temporal filtering (UMCTF) framework for wavelet video coding. ICME Mihaela van der Schaar, Deepak S. Turaga
2002	C	`conf`	Adaptive frequency weighting for fine-granularity-scalability. VCIP Sharon S. Peng, Mihaela van der Schaar
2002	J	`jnl`	Adaptive motion-compensation fine-granular-scalability (AMC-FGS) for wireless video. IEEE Trans. Circuits Syst. Video Technol. Mihaela van der Schaar, Hayder Radha
2002	—	`conf`	FGS+: optimizing the joint SNR-temporal video quality in MPEG-4 fine grained scalable coding. ISCAS (1) Raj Kumar Rajendran, Mihaela van der Schaar, Shih-Fu Chang
2002	C	`conf`	Fine-granularity-scalability for wireless video and scalable storage. VCIP Mihaela van der Schaar, Joseph P. Meehan
2002	—	`conf`	Resource-driven MPEG-4 FGS for universal multimedia access. ICME (1) Richard Chen, Mihaela van der Schaar
2002	—	`conf`	Robust transmission of MPEG-4 scalable video over 4G wireless networks. ICIP (3) Mihaela van der Schaar, Joseph P. Meehan
2002	—	`conf`	Scene-dependent frequency weighting for subjective quality improvement of MPEG-4 fine-granularity-scalability. ICIP (3) Sharon S. Peng, Mihaela van der Schaar
2001	J	`jnl`	A hybrid temporal-SNR fine-granular scalability for Internet video. IEEE Trans. Circuits Syst. Video Technol. Mihaela van der Schaar, Hayder Radha
2001	—	`conf`	Content-based selective enhancement for streaming video. ICIP (2) Mihaela van der Schaar, Y.-T. Lin
2001	C	`conf`	Fine-grained loss protection for robust Internet video streaming. VCIP Mihaela van der Schaar, Hayder Radha
2001	C	`conf`	Motion-compensation fine-granular-scalability (MC-FGS) for wireless multimedia. MMSP Mihaela van der Schaar, Hayder Radha
2001	—	`conf`	Temporal-SNR rate-control for Fine-Granular Scalability. ICIP (2) Hayder Radha, Mihaela van der Schaar
2001	J	`jnl`	The MPEG-4 fine-grained scalable video coding method for multimedia streaming over IP. IEEE Trans. Multim. Hayder Radha, Mihaela van der Schaar, Yingwei Chen
2001	J	`jnl`	Unequal packet loss resilience for fine-granular-scalability video. IEEE Trans. Multim. Mihaela van der Schaar, Hayder Radha
2000	B	`conf`	A Novel MPEG-4 Based Hybrid Temporal-SNR Scalability for Internet Video. ICIP Mihaela van der Schaar, Hayder Radha
2000	J	`jnl`	Near-lossless complexity-scalable embedded compression algorithm for cost reduction in DTV receivers. IEEE Trans. Consumer Electron. Mihaela van der Schaar, Peter H. N. de With
2000	B	`conf`	Packet-Loss Resilient Internet Video Using MPEG-4 Fine Granular Scalability. ICIP Mihaela van der Schaar, Hayder Radha
2000	A	`conf`	Scalable MPEG-4 Video Coding with Graceful Packet-Loss Resilience over Bandwidth-Varying Networks. IEEE International Conference on Multimedia and Expo (III) Mihaela van der Schaar, Hayder Radha, C. Dufour