Geoffrey J. Gordon

195 papers A* 47A 31B 4C 4Misc 1Journal 72Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Text Has Curvature. CoRR Karish Grover, Hanqing Zeng, Yinglong Xia, Christos Faloutsos, Geoffrey J. Gordon
2025	J	`jnl`	A Vision for Computational Decarbonization of Societal Infrastructure. IEEE Internet Comput. David Irwin, Prashant J. Shenoy, Mohammad Hajiesmaili, Walid A. Hanafy, Jimi Oke, Ramesh K. Sitaraman, Yuvraj Agarwal, Geoffrey J. Gordon, Zico Kolter, Deepak Rajagopal, Mani Srivastava, Vivienne Sze, Priya L. Donti, Andrew A. Chien, John R. Birge, Ali Hortaçsu, Line Roald
2025	A*	`conf`	CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection. ICML Karish Grover, Geoffrey J. Gordon, Christos Faloutsos
2025	J	`jnl`	CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection. CoRR Karish Grover, Geoffrey J. Gordon, Christos Faloutsos
2025	A*	`conf`	LICORICE: Label-Efficient Concept-Based Interpretable Reinforcement Learning. ICLR Zhuorui Ye, Stephanie Milani, Geoffrey J. Gordon, Fei Fang
2024	J	`jnl`	Concept-Based Interpretable Reinforcement Learning with Limited to No Human Labels. CoRR Zhuorui Ye, Stephanie Milani, Geoffrey J. Gordon, Fei Fang
2024	—	`conf`	Meta-Analysis with Untrusted Data. ML4H@NeurIPS Shiva Kaul, Geoffrey J. Gordon
2024	J	`jnl`	Meta-Analysis with Untrusted Data. CoRR Shiva Kaul, Geoffrey J. Gordon
2024	A*	`conf`	When is Transfer Learning Possible? ICML My Phan, Kianté Brantley, Stephanie Milani, Soroush Mehri, Gokul Swamy, Geoffrey J. Gordon
2022	J	`jnl`	Fundamental Limits and Tradeoffs in Invariant Representation Learning. J. Mach. Learn. Res. Han Zhao, Chen Dan, Bryon Aragam, Tommi S. Jaakkola, Geoffrey J. Gordon, Pradeep Ravikumar
2022	J	`jnl`	Inherent Tradeoffs in Learning Fair Representations. J. Mach. Learn. Res. Han Zhao, Geoffrey J. Gordon
2021	A*	`conf`	Decomposed Mutual Information Estimation for Contrastive Representation Learning. ICML Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoffrey J. Gordon, Philip Bachman, Remi Tachet des Combes
2021	J	`jnl`	Decomposed Mutual Information Estimation for Contrastive Representation Learning. CoRR Alessandro Sordoni, Nouha Dziri, Hannes Schulz, Geoffrey J. Gordon, Philip Bachman, Remi Tachet des Combes
2021	A*	`conf`	Information Obfuscation of Graph Neural Networks. ICML Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi S. Jaakkola, Geoffrey J. Gordon, Stefanie Jegelka, Ruslan Salakhutdinov
2021	A*	`conf`	Successor Feature Sets: Generalizing Successor Representations Across Policies. AAAI Kianté Brantley, Soroush Mehri, Geoffrey J. Gordon
2021	J	`jnl`	Successor Feature Sets: Generalizing Successor Representations Across Policies. CoRR Kianté Brantley, Soroush Mehri, Geoffrey J. Gordon
2021	A*	`conf`	Understanding and Mitigating Accuracy Disparity in Regression. ICML Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao
2021	J	`jnl`	Understanding and Mitigating Accuracy Disparity in Regression. CoRR Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon, Han Zhao
2020	A	`conf`	A Reduction from Reinforcement Learning to No-Regret Online Learning. AISTATS Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon
2020	—	`conf`	An Empirical Investigation of Beam-Aware Training in Supertagging. EMNLP (Findings) Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon
2020	J	`jnl`	An Empirical Investigation of Beam-Aware Training in Supertagging. CoRR Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon
2020	A*	`conf`	Conditional Learning of Fair Representations. ICLR Han Zhao, Amanda Coston, Tameem Adel, Geoffrey J. Gordon
2020	A*	`conf`	Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift. NeurIPS Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoffrey J. Gordon
2020	J	`jnl`	Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift. CoRR Remi Tachet des Combes, Han Zhao, Yu-Xiang Wang, Geoffrey J. Gordon
2020	A	`conf`	Expressiveness and Learning of Hidden Quantum Markov Models. AISTATS Sandesh Adhikary, Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots
2020	J	`jnl`	Fundamental Limits and Tradeoffs in Invariant Representation Learning. CoRR Han Zhao, Chen Dan, Bryon Aragam, Tommi S. Jaakkola, Geoffrey J. Gordon, Pradeep Ravikumar
2020	J	`jnl`	Graph Adversarial Networks: Protecting Information against Adversarial Attacks. CoRR Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi S. Jaakkola, Geoffrey J. Gordon, Stefanie Jegelka, Ruslan Salakhutdinov
2020	A*	`conf`	Learning General Latent-Variable Graphical Models with Predictive Belief Propagation. AAAI Borui Wang, Geoffrey J. Gordon
2020	A*	`conf`	Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation. NeurIPS Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon
2019	J	`jnl`	A Reduction from Reinforcement Learning to No-Regret Online Learning. CoRR Ching-An Cheng, Remi Tachet des Combes, Byron Boots, Geoffrey J. Gordon
2019	J	`jnl`	Adversarial Task-Specific Privacy Preservation under Attribute Attack. CoRR Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon
2019	—	`conf`	An Empirical Study of Example Forgetting during Deep Neural Network Learning. ICLR (Poster) Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon
2019	J	`jnl`	Conditional Learning of Fair Representations. CoRR Han Zhao, Amanda Coston, Tameem Adel, Geoffrey J. Gordon
2019	A	`conf`	Deep Generative and Discriminative Domain Adaptation. AAMAS Han Zhao, Junjie Hu, Zhenyao Zhu, Adam Coates, Geoffrey J. Gordon
2019	A	`conf`	Efficient Multitask Feature and Relationship Learning. UAI Han Zhao, Otilia Stretcu, Alexander J. Smola, Geoffrey J. Gordon
2019	J	`jnl`	Expressiveness and Learning of Hidden Quantum Markov Models. CoRR Sandesh Adhikary, Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots
2019	J	`jnl`	Inherent Tradeoffs in Learning Fair Representation. CoRR Han Zhao, Geoffrey J. Gordon
2019	A*	`conf`	Inherent Tradeoffs in Learning Fair Representations. NeurIPS Han Zhao, Geoffrey J. Gordon
2019	A*	`conf`	Learning Neural Networks with Adaptive Regularization. NeurIPS Han Zhao, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Geoffrey J. Gordon
2019	J	`jnl`	Learning Neural Networks with Adaptive Regularization. CoRR Han Zhao, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Geoffrey J. Gordon
2019	J	`jnl`	On Learning Invariant Representation for Domain Adaptation. CoRR Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoffrey J. Gordon
2019	A*	`conf`	On Learning Invariant Representations for Domain Adaptation. ICML Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoffrey J. Gordon
2019	A*	`conf`	Towards modular and programmable architecture search. NeurIPS Renato Negrinho, Matthew Gormley, Geoffrey J. Gordon, Darshan Patil, Nghia Le, Daniel Ferreira
2019	J	`jnl`	Towards modular and programmable architecture search. CoRR Renato Negrinho, Darshan Patil, Nghia Le, Daniel Ferreira, Matthew Gormley, Geoffrey J. Gordon
2018	J	`jnl`	A Demonstration of the OtterTune Automatic Database Management System Tuning Service. Proc. VLDB Endow. Bohan Zhang, Dana Van Aken, Justin Wang, Tao Dai, Shuli Jiang, Jacky Lao, Siyuan Sheng, Andrew Pavlo, Geoffrey J. Gordon
2018	A*	`conf`	Adversarial Multiple Source Domain Adaptation. NeurIPS Han Zhao, Shanghang Zhang, Guanhang Wu, José M. F. Moura, João Paulo Costeira, Geoffrey J. Gordon
2018	A*	`conf`	An Efficient, Expressive and Local Minima-Free Method for Learning Controlled Dynamical Systems. AAAI Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon
2018	J	`jnl`	An Empirical Study of Example Forgetting during Deep Neural Network Learning. CoRR Mariya Toneva, Alessandro Sordoni, Remi Tachet des Combes, Adam Trischler, Yoshua Bengio, Geoffrey J. Gordon
2018	A*	`conf`	Dual Policy Iteration. NeurIPS Wen Sun, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell
2018	J	`jnl`	Dual Policy Iteration. CoRR Wen Sun, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell
2018	A	`conf`	Frank-Wolfe Optimization for Symmetric-NMF under Simplicial Constraint. UAI Han Zhao, Geoffrey J. Gordon
2018	A*	`conf`	Learning Beam Search Policies via Imitation Learning. NeurIPS Renato Negrinho, Matthew Gormley, Geoffrey J. Gordon
2018	J	`jnl`	Learning Beam Search Policies via Imitation Learning. CoRR Renato Negrinho, Matthew R. Gormley, Geoffrey J. Gordon
2018	A	`conf`	Learning Hidden Quantum Markov Models. AISTATS Siddarth Srinivasan, Geoffrey J. Gordon, Byron Boots
2018	—	`conf`	Multiple Source Domain Adaptation with Adversarial Learning. ICLR (Workshop) Han Zhao, Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura, Geoffrey J. Gordon
2018	—	`conf`	Query-based Workload Forecasting for Self-Driving Database Management Systems. SIGMOD Conference Lin Ma, Dana Van Aken, Ahmed Hefny, Gustavo Mezerhane, Andrew Pavlo, Geoffrey J. Gordon
2018	A*	`conf`	Recurrent Predictive State Policy Networks. ICML Ahmed Hefny, Zita Marinho, Wen Sun, Siddhartha S. Srinivasa, Geoffrey J. Gordon
2018	J	`jnl`	Recurrent Predictive State Policy Networks. CoRR Ahmed Hefny, Zita Marinho, Wen Sun, Siddhartha S. Srinivasa, Geoffrey J. Gordon
2017	—	`conf`	Automatic Database Management System Tuning Through Large-scale Machine Learning. SIGMOD Conference Dana Van Aken, Andrew Pavlo, Geoffrey J. Gordon, Bohan Zhang
2017	J	`jnl`	DeepArchitect: Automatically Designing and Training Deep Architectures. CoRR Renato Negrinho, Geoffrey J. Gordon
2017	A*	`conf`	Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. ICML Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell
2017	J	`jnl`	Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction. CoRR Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell
2017	J	`jnl`	Efficient Computation of Moments in Sum-Product Networks. CoRR Han Zhao, Geoffrey J. Gordon
2017	J	`jnl`	Efficient Multi-task Feature and Relationship Learning. CoRR Han Zhao, Otilia Stretcu, Renato Negrinho, Alexander J. Smola, Geoffrey J. Gordon
2017	J	`jnl`	Frank-Wolfe Optimization for Symmetric-NMF under Simplicial Constraint. CoRR Han Zhao, Geoffrey J. Gordon
2017	J	`jnl`	Learning General Latent-Variable Graphical Models with Predictive Belief Propagation and Hilbert Space Embeddings. CoRR Borui Wang, Geoffrey J. Gordon
2017	—	`conf`	Linear Time Computation of Moments in Sum-Product Networks. NIPS Han Zhao, Geoffrey J. Gordon
2017	J	`jnl`	Multiple Source Domain Adaptation with Adversarial Training of Neural Networks. CoRR Han Zhao, Shanghang Zhang, Guanhang Wu, João Paulo Costeira, José M. F. Moura, Geoffrey J. Gordon
2017	J	`jnl`	Practical Learning of Predictive State Representations. CoRR Carlton Downey, Ahmed Hefny, Geoffrey J. Gordon
2017	—	`conf`	Predictive State Recurrent Neural Networks. NIPS Carlton Downey, Ahmed Hefny, Byron Boots, Geoffrey J. Gordon, Boyue Li
2017	J	`jnl`	Principled Hybrids of Generative and Discriminative Domain Adaptation. CoRR Han Zhao, Zhenyao Zhu, Junjie Hu, Adam Coates, Geoffrey J. Gordon
2017	J	`jnl`	Unsupervised Learning for Nonlinear PieceWise Smooth Hybrid Systems. CoRR Gilwoo Lee, Zita Marinho, Aaron M. Johnson, Geoffrey J. Gordon, Siddhartha S. Srinivasa, Matthew T. Mason
2016	B	`conf`	A Data-Driven Approach for Inferring Student Proficiency from Game Activity Logs. L@S Mohammad Hassan Falakmasir, José P. González-Brenes, Geoffrey J. Gordon, Kristen E. DiCerbo
2016	—	`conf`	A Unified Approach for Learning the Parameters of Sum-Product Networks. NIPS Han Zhao, Pascal Poupart, Geoffrey J. Gordon
2016	J	`jnl`	A Unified Approach for Learning the Parameters of Sum-Product Networks. CoRR Han Zhao, Pascal Poupart, Geoffrey J. Gordon
2016	A*	`conf`	Collapsed Variational Inference for Sum-Product Networks. ICML Han Zhao, Tameem Adel, Geoffrey J. Gordon, Brandon Amos
2016	—	`conf`	Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces. Robotics: Science and Systems Zita Marinho, Byron Boots, Anca D. Dragan, Arunkumar Byravan, Geoffrey J. Gordon, Siddhartha S. Srinivasa
2016	J	`jnl`	Functional Gradient Motion Planning in Reproducing Kernel Hilbert Spaces. CoRR Zita Marinho, Anca D. Dragan, Arunkumar Byravan, Byron Boots, Siddhartha S. Srinivasa, Geoffrey J. Gordon
2016	A	`conf`	Learning to Smooth with Bidirectional Predictive State Inference Machines. UAI Wen Sun, Roberto Capobianco, Geoffrey J. Gordon, J. Andrew Bagnell, Byron Boots
2015	J	`jnl`	A New View of Predictive State Methods for Dynamical System Learning. CoRR Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon
2015	—	`conf`	Spectral Learning for Expressive Interactive Ensemble Music Performance. ISMIR Guangyu Xia, Yun Wang, Roger B. Dannenberg, Geoffrey J. Gordon
2015	—	`conf`	Supervised Learning for Dynamical System Learning. NIPS Ahmed Hefny, Carlton Downey, Geoffrey J. Gordon
2014	—	`conf`	Fast and Improved SLEX Analysis of High-Dimensional Time Series. MLINI@NIPS Ahmed Hefny, Robert E. Kass, Sanjeev Khanna, Matthew A. Smith, Geoffrey J. Gordon
2014	J	`jnl`	Hybrid Theorem Proving of Aerospace Systems: Applications and Challenges. J. Aerosp. Inf. Syst. Khalil Ghorbal, Jean-Baptiste Jeannin, Erik Zawadzki, André Platzer, Geoffrey J. Gordon, Peter Capell
2013	A*	`conf`	A Generalization of SAT and #SAT for Robust Policy Evaluation. IJCAI Erik Peter Zawadzki, André Platzer, Geoffrey J. Gordon
2013	B	`conf`	A Spectral Learning Approach to Knowledge Tracing. EDM Mohammad Hassan Falakmasir, Zachary A. Pardos, Geoffrey J. Gordon, Peter Brusilovsky
2013	—	`conf`	A Spectral Learning Approach to Range-Only SLAM. ICML (1) Byron Boots, Geoffrey J. Gordon
2013	J	`jnl`	Distributed Planning in Hierarchical Factored MDPs CoRR Carlos Guestrin, Geoffrey J. Gordon
2013	B	`conf`	Exploring friend's influence in cultures in Twitter. ASONAM Anika Gupta, Katia P. Sycara, Geoffrey J. Gordon, Ahmed Hefny
2013	J	`jnl`	Galerkin Methods for Complementarity Problems and Variational Inequalities. CoRR Geoffrey J. Gordon
2013	A	`conf`	Hilbert Space Embeddings of Predictive State Representations. UAI Byron Boots, Geoffrey J. Gordon, Arthur Gretton
2013	J	`jnl`	Hilbert Space Embeddings of Predictive State Representations. CoRR Byron Boots, Geoffrey J. Gordon, Arthur Gretton
2013	A	`conf`	Individualized Bayesian Knowledge Tracing Models. AIED Michael Yudelson, Kenneth R. Koedinger, Geoffrey J. Gordon
2012	J	`jnl`	A Bayesian Matrix Factorization Model for Relational Data CoRR Ajit Paul Singh, Geoffrey J. Gordon
2012	J	`jnl`	A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games CoRR Miroslav Dudík, Geoffrey J. Gordon
2012	J	`jnl`	A Spectral Learning Approach to Range-Only SLAM CoRR Byron Boots, Geoffrey J. Gordon
2012	J	`jnl`	Decentralized Sensor Fusion With Distributed Particle Filters CoRR Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun
2012	A*	`conf`	Decision Support for Agent Populations in Uncertain and Congested Environments. AAAI Pradeep Varakantham, Shih-Fen Cheng, Geoffrey J. Gordon, Asrar Ahmed
2012	J	`jnl`	Fast Solutions to Projective Monotone Linear Complementarity Problems CoRR Geoffrey J. Gordon
2012	J	`jnl`	First-Order Mixed Integer Linear Programming CoRR Geoffrey J. Gordon, Sue Ann Hong, Miroslav Dudík
2012	—	`conf`	Identifying Culture and Leveraging Cultural Differences for Negotiation Agents. HICSS Brian D. Ziebart, Miroslav Dudík, Geoffrey J. Gordon, Katia P. Sycara, Wendi L. Adair, Jeanne M. Brett
2012	—	`conf`	Lagrangian Relaxation for Large-Scale Multi-agent Planning. IAT Geoffrey J. Gordon, Pradeep Varakantham, William Yeoh, Hoong Chuin Lau, Ajay S. Aravamudhan, Shih-Fen Cheng
2012	A	`conf`	Lagrangian relaxation for large-scale multi-agent planning. AAMAS Geoffrey J. Gordon, Pradeep Varakantham, William Yeoh, Hoong Chuin Lau, Ajay S. Aravamudhan, Shih-Fen Cheng
2012	J	`jnl`	Policy-contingent abstraction for robust robot control CoRR Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
2012	A*	`conf`	Two Manifold Problems with Applications to Nonlinear System Identification. ICML Byron Boots, Geoffrey J. Gordon
2012	J	`jnl`	Two-Manifold Problems with Applications to Nonlinear System Identification CoRR Byron Boots, Geoffrey J. Gordon
2011	A	`conf`	A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning. AISTATS Stéphane Ross, Geoffrey J. Gordon, Drew Bagnell
2011	A	`conf`	An Instantiation-Based Theorem Prover for First-Order Programming. AISTATS Erik Zawadzki, Geoffrey J. Gordon, André Platzer
2011	A*	`conf`	An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems. AAAI Byron Boots, Geoffrey J. Gordon
2011	J	`jnl`	Anytime Point-Based Approximations for Large POMDPs CoRR Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
2011	J	`jnl`	Closing the learning-planning loop with predictive state representations. Int. J. Robotics Res. Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
2011	J	`jnl`	Finding Approximate POMDP solutions Through Belief Compression CoRR Geoffrey J. Gordon, Nicholas Roy, Sebastian Thrun
2011	B	`conf`	Instructional Factors Analysis: A Cognitive Model For Multiple Instructional Interventions. EDM Min Chi, Kenneth R. Koedinger, Geoffrey J. Gordon, Pamela W. Jordan, Kurt VanLehn
2011	C	`conf`	Learning from Experience in Manipulation Planning: Setting the Right Goals. ISRR Anca D. Dragan, Geoffrey J. Gordon, Siddhartha S. Srinivasa
2011	A	`conf`	Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources. AISTATS Sue Ann Hong, Geoffrey J. Gordon
2011	A	`conf`	Preface. AISTATS Geoffrey J. Gordon, David B. Dunson
2011	A	`ed.`	Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, AISTATS 2011, Fort Lauderdale, USA, April 11-13, 2011 AISTATS Geoffrey J. Gordon, David B. Dunson, Miroslav Dudík
2011	J	`jnl`	Two-Manifold Problems CoRR Byron Boots, Geoffrey J. Gordon
2010	A	`conf`	A Bayesian Matrix Factorization Model for Relational Data. UAI Ajit Paul Singh, Geoffrey J. Gordon
2010	Misc	`conf`	Automatic state discovery for unstructured audio scene classification. ICASSP Julian Ramos, Sajid M. Siddiqi, Artur Dubrawski, Geoffrey J. Gordon, Abhishek Sharma
2010	—	`conf`	Closing the Learning-Planning Loop with Predictive State Representations. Robotics: Science and Systems Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
2010	A	`conf`	Closing the learning-planning loop with predictive state representations. AAMAS Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
2010	J	`jnl`	Decentralized estimation and control of graph connectivity for mobile sensor networks. Autom. Peng Yang, Randy A. Freeman, Geoffrey J. Gordon, Kevin M. Lynch, Siddhartha S. Srinivasa, Rahul Sukthankar
2010	A*	`conf`	Hilbert Space Embeddings of Hidden Markov Models. ICML Le Song, Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon, Alexander J. Smola
2010	J	`jnl`	No-Regret Reductions for Imitation Learning and Structured Prediction CoRR Stéphane Ross, Geoffrey J. Gordon, J. Andrew Bagnell
2010	J	`jnl`	Predictive State Temporal Difference Learning CoRR Byron Boots, Geoffrey J. Gordon
2010	—	`conf`	Predictive State Temporal Difference Learning. NIPS Byron Boots, Geoffrey J. Gordon
2010	A	`conf`	Reduced-Rank Hidden Markov Models. AISTATS Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
2009	A	`conf`	A Sampling-Based Approach to Computing Equilibria in Succinct Extensive-Form Games. UAI Miroslav Dudík, Geoffrey J. Gordon
2009	J	`jnl`	Closing the Learning-Planning Loop with Predictive State Representations CoRR Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
2009	A	`conf`	First-Order Mixed Integer Linear Programming. UAI Geoffrey J. Gordon, Sue Ann Hong, Miroslav Dudík
2009	J	`jnl`	Reduced-Rank Hidden Markov Models CoRR Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
2009	A	`conf`	The Block Diagonal Infinite Hidden Markov Model. AISTATS Thomas S. Stepleton, Zoubin Ghahramani, Geoffrey J. Gordon, Tai Sing Lee
2008	—	`conf`	A Unified View of Matrix Factorization Models. ECML/PKDD (2) Ajit Paul Singh, Geoffrey J. Gordon
2008	J	`jnl`	Anytime search in dynamic graphs. Artif. Intell. Maxim Likhachev, Dave Ferguson, Geoffrey J. Gordon, Anthony Stentz, Sebastian Thrun
2008	A*	`conf`	Closed-form supervised dimensionality reduction with generalized linear models. ICML Irina Rish, Genady Grabarnik, Guillermo A. Cecchi, Francisco Pereira, Geoffrey J. Gordon
2008	C	`conf`	Decentralized estimation and control of graph connectivity in mobile sensor networks. ACC Peng Yang, Randy A. Freeman, Geoffrey J. Gordon, Kevin M. Lynch, Siddhartha S. Srinivasa, Rahul Sukthankar
2008	J	`jnl`	Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns. J. Mach. Learn. Res. Shann-Ching Chen, Geoffrey J. Gordon, Robert F. Murphy
2008	—	`conf`	No-regret learning and a mechanism for distributed multiagent planning. AAMAS (1) Jan-P. Calliess, Geoffrey J. Gordon
2008	A*	`conf`	No-regret learning in convex games. ICML Geoffrey J. Gordon, Amy Greenwald, Casey Marks
2008	A*	`conf`	RADAR: A Personal Assistant that Learns to Reduce Email Overload. AAAI Michael Freed, Jaime G. Carbonell, Geoffrey J. Gordon, Jordan Hayes, Brad A. Myers, Daniel P. Siewiorek, Stephen F. Smith, Aaron Steinfeld, Anthony Tomasic
2008	A*	`conf`	Relational learning via collective matrix factorization. KDD Ajit Paul Singh, Geoffrey J. Gordon
2007	—	`conf`	A Constraint Generation Approach to Learning Stable Linear Dynamical Systems. NIPS Sajid M. Siddiqi, Byron Boots, Geoffrey J. Gordon
2007	A	`conf`	A Fast Bundle-based Anytime Algorithm for Poker and other Convex Games. AISTATS H. Brendan McMahan, Geoffrey J. Gordon
2007	A	`conf`	A Latent Space Approach to Dynamic Embedding of Co-occurrence Data. AISTATS Purnamrita Sarkar, Sajid M. Siddiqi, Geoffrey J. Gordon
2007	A*	`conf`	A Unification of Extensive-Form Games and Markov Decision Processes. AAAI H. Brendan McMahan, Geoffrey J. Gordon
2007	A	`conf`	A scalable distributed algorithm for shape transformation in multi-robot systems. IROS Ramprasad Ravichandran, Geoffrey J. Gordon, Seth Copen Goldstein
2007	A*	`conf`	Adaptive Sampling for Multi-Robot Wide-Area Exploration. ICRA Kian Hsiang Low, Geoffrey J. Gordon, John M. Dolan, Pradeep K. Khosla
2007	J	`jnl`	Agendas for multi-agent learning. Artif. Intell. Geoffrey J. Gordon
2007	—	`conf`	Automated image analysis of protein localization in budding yeast. ISMB/ECCB (Supplement of Bioinformatics) Shann-Ching Chen, Ting Zhao, Geoffrey J. Gordon, Robert F. Murphy
2007	A	`conf`	Fast State Discovery for HMM Model Selection and Learning. AISTATS Sajid M. Siddiqi, Geoffrey J. Gordon, Andrew W. Moore
2006	C	`conf`	A Novel Graphical Model Approach to Segmenting Cell Images. CIBCB Shann-Ching Chen, Ting Zhao, Geoffrey J. Gordon, Robert F. Murphy
2006	—	`conf`	A novel approximate inference approach to automated classification of protein subcellular location patterns in multi-cell images. ISBI Shann-Ching Chen, Geoffrey J. Gordon, Robert F. Murphy
2006	J	`jnl`	Anytime Point-Based Approximations for Large POMDPs. J. Artif. Intell. Res. Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
2006	—	`conf`	Approximate Kalman Filters for Embedding Author-Word Co-occurrence Data over Time. SNA@ICML Purnamrita Sarkar, Sajid M. Siddiqi, Geoffrey J. Gordon
2006	A	`conf`	Decentralized planning under uncertainty for teams of communicating agents. AAMAS Matthijs T. J. Spaan, Geoffrey J. Gordon, Nikos Vlassis
2006	—	`conf`	Multi-Robot Negotiation: Approximating the Set of Subgame Perfect Equilibria in General-Sum Stochastic Games. NIPS Chris Murray, Geoffrey J. Gordon
2006	—	`conf`	No-regret Algorithms for Online Convex Programs. NIPS Geoffrey J. Gordon
2006	J	`jnl`	Planning under uncertainty in robotics. Robotics Auton. Syst. Nikos Vlassis, Geoffrey J. Gordon, Joelle Pineau
2006	A*	`conf`	The support vector decomposition machine. ICML Francisco Pereira, Geoffrey J. Gordon
2006	J	`jnl`	Visibility-based Pursuit-evasion with Limited Field of View. Int. J. Robotics Res. Brian P. Gerkey, Sebastian Thrun, Geoffrey J. Gordon
2005	A*	`conf`	Anytime Dynamic A*: An Anytime, Replanning Algorithm. ICAPS Maxim Likhachev, David I. Ferguson, Geoffrey J. Gordon, Anthony Stentz, Sebastian Thrun
2005	A*	`conf`	Bounded real-time dynamic programming: RTDP with monotone upper bounds and performance guarantees. ICML H. Brendan McMahan, Maxim Likhachev, Geoffrey J. Gordon
2005	A*	`conf`	Fast Exact Planning in Markov Decision Processes. ICAPS H. Brendan McMahan, Geoffrey J. Gordon
2005	J	`jnl`	Finding Approximate POMDP solutions Through Belief Compression. J. Artif. Intell. Res. Nicholas Roy, Geoffrey J. Gordon, Sebastian Thrun
2005	A*	`conf`	Game Theoretic Control for Robot Teams. ICRA Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jeff G. Schneider, Sebastian Thrun
2005	C	`conf`	POMDP Planning for Robust Robot Control. ISRR Joelle Pineau, Geoffrey J. Gordon
2004	A	`conf`	Approximate Solutions for Partially Observable Stochastic Games with Common Payoffs. AAMAS Rosemary Emery-Montemerlo, Geoffrey J. Gordon, Jeff G. Schneider, Sebastian Thrun
2004	A*	`conf`	Learning low dimensional predictive representations. ICML Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun
2004	—	`conf`	Planning for Markov Decision Processes with Sparse Stochasticity. NIPS Maxim Likhachev, Geoffrey J. Gordon, Sebastian Thrun
2004	J	`jnl`	Real-time fault diagnosis [robot fault diagnosis]. IEEE Robotics Autom. Mag. Vandi Verma, Geoffrey J. Gordon, Reid G. Simmons, Sebastian Thrun
2004	A*	`conf`	Visibility-Based Pursuit-Evasion with Limited Field of View. AAAI Brian P. Gerkey, Sebastian Thrun, Geoffrey J. Gordon
2003	A*	`conf`	A Learning Algorithm for Localizing People Based on Wireless Signal Strength that Uses Labeled and Unlabeled Data. IJCAI Sebastian Thrun, Geoffrey J. Gordon, Frank Pfenning, Mary Berna, Brennan Sellner, Brad Lisien
2003	—	`conf`	ARA: Anytime A with Provable Bounds on Sub-Optimality. NIPS Maxim Likhachev, Geoffrey J. Gordon, Sebastian Thrun
2003	—	`conf`	Applying Metric-Trees to Belief-Point POMDPs. NIPS Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
2003	—	`conf`	Auction Mechanism Design for Multi-Robot Coordination. NIPS Curt A. Bererton, Geoffrey J. Gordon, Sebastian Thrun
2003	A	`conf`	Decentralized Sensor Fusion with Distributed Particle Filters. UAI Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun
2003	A	`conf`	Locating moving entities in indoor environments with teams of mobile robots. AAMAS Matthew Rosencrantz, Geoffrey J. Gordon, Sebastian Thrun
2003	—	`conf`	Model Uncertainty in Classical Conditioning. NIPS Aaron C. Courville, Nathaniel D. Daw, Geoffrey J. Gordon, David S. Touretzky
2003	A*	`conf`	Planning in the Presence of Cost Functions Controlled by an Adversary. ICML H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum
2003	—	`conf`	Planning under Uncertainty for Reliable Health Care Robotics. FSR Nicholas Roy, Geoffrey J. Gordon, Sebastian Thrun
2003	A*	`conf`	Point-based value iteration: An anytime algorithm for POMDPs. IJCAI Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
2003	A	`conf`	Policy-contingent abstraction for robust robot control. UAI Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
2002	A	`conf`	Distributed Planning in Hierarchical Factored MDPs. UAI Carlos Guestrin, Geoffrey J. Gordon
2002	—	`conf`	Exponential Family PCA for Belief Compression in POMDPs. NIPS Nicholas Roy, Geoffrey J. Gordon
2002	—	`conf`	Generalized NIPS Geoffrey J. Gordon
2000	A*	`conf`	Learning Filaments. ICML Geoffrey J. Gordon, Andrew W. Moore
2000	—	`conf`	Reinforcement Learning with Function Approximation Converges to a Region. NIPS Geoffrey J. Gordon
1999	A*	`conf`	Regret Bounds for Prediction Problems. COLT Geoffrey J. Gordon
1997	J	`jnl`	An evaluation of machine-learning methods for predicting pneumonia mortality. Artif. Intell. Medicine Gregory F. Cooper, Constantin F. Aliferis, Richard Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, Geoffrey J. Gordon, Barbara H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas S. Richardson, Peter Spirtes
1996	J	`jnl`	Exploratory Analysis of Speedup Learning Data Using Epectation Maximization. Artif. Intell. Alberto Maria Segre, Geoffrey J. Gordon, Charles Elkan
1996	A*	`conf`	Nonparametric Statistical Methods for Experimental Evaluations of Speedup Learning. ICML Geoffrey J. Gordon, Alberto Maria Segre
1995	—	`conf`	Stable Fitted Reinforcement Learning. NIPS Geoffrey J. Gordon
1995	A*	`conf`	Stable Function Approximation in Dynamic Programming. ICML Geoffrey J. Gordon
1993	J	`jnl`	Sholom M. Weiss and Casimir A. Kulikowski, Computer Systems That Learn. Artif. Intell. Alberto Maria Segre, Geoffrey J. Gordon