Daniel Jarrett

41 papers A* 17A 1Journal 21Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Language Agents as Digital Representatives in Collective Decision-Making. CoRR Daniel Jarrett, Miruna Pîslar, Michiel A. Bakker, Michael Henry Tessler, Raphael Köster, Jan Balaguer, Romuald Elie, Christopher Summerfield, Andrea Tacchetti
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`	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`	Clairvoyance: A Pipeline Toolkit for Medical Time Series. CoRR Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar
2023	A*	`conf`	Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments. ICML Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Rémi Munos, Michal Valko
2023	J	`jnl`	Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. CoRR Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
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	J	`jnl`	Online Decision Mediation. CoRR Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
2023	J	`jnl`	Time-series Generation by Contrastive Imitation. CoRR Daniel Jarrett, Ioana Bica, Mihaela van der Schaar
2022	J	`jnl`	Curiosity in hindsight. CoRR Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Rémi Munos, Michal Valko
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`	Inverse Contextual Bandits: Learning How Behavior Evolves over Time. ICML Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
2022	A*	`conf`	Online Decision Mediation. NeurIPS Daniel Jarrett, Alihan Hüyük, 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`	Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. ICLR Alihan Hüyük, Daniel Jarrett, Cem Tekin, 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	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	—	`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
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	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`	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`	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	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
2019	A*	`conf`	Time-series Generative Adversarial Networks. NeurIPS Jinsung Yoon, Daniel Jarrett, 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