Jarrett, Daniel

21 publications

NeurIPS 2023 Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar

NeurIPS 2023 AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems Jeroen Berrevoets, Daniel Jarrett, Alex Chan, Mihaela van der Schaar

ICML 2023 Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Remi Munos, Michal Valko

NeurIPSW 2023 Language Agents as Digital Representatives in Collective Decision-Making Daniel Jarrett, Miruna Pislar, Michiel A. Bakker, Michael Henry Tessler, Raphael Koster, Jan Balaguer, Romuald Elie, Christopher Summerfield, Andrea Tacchetti

NeurIPSW 2022 Curiosity in Hindsight Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Remi Munos, Michal Valko

ICML 2022 HyperImpute: Generalized Iterative Imputation with Automatic Model Selection Daniel Jarrett, Bogdan C Cebere, Tennison Liu, Alicia Curth, Mihaela Schaar

ICML 2022 Inverse Contextual Bandits: Learning How Behavior Evolves over Time Alihan Hüyük, Daniel Jarrett, Mihaela Schaar

NeurIPS 2022 Online Decision Mediation Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar

ICLR 2021 Clairvoyance: A Pipeline Toolkit for Medical Time Series Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar

NeurIPS 2021 Closing the Loop in Medical Decision Support by Understanding Clinical Decision-Making: A Case Study on Organ Transplantation Yuchao Qin, Fergus Imrie, Alihan Hüyük, Daniel Jarrett, Alexander Gimson, Mihaela van der Schaar

ICLR 2021 Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning Alihan Hüyük, Daniel Jarrett, Cem Tekin, Mihaela van der Schaar

MLJ 2021 How Artificial Intelligence and Machine Learning Can Help Healthcare Systems Respond to COVID-19 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

NeurIPS 2021 Invariant Causal Imitation Learning for Generalizable Policies Ioana Bica, Daniel Jarrett, Mihaela van der Schaar

ICML 2021 Inverse Decision Modeling: Learning Interpretable Representations of Behavior Daniel Jarrett, Alihan Hüyük, Mihaela Van Der Schaar

ICLR 2021 Learning "What-If" Explanations for Sequential Decision-Making Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar

NeurIPS 2021 Time-Series Generation by Contrastive Imitation Daniel Jarrett, Ioana Bica, Mihaela van der Schaar

ICML 2020 Inverse Active Sensing: Modeling and Understanding Timely Decision-Making Daniel Jarrett, Mihaela Van Der Schaar

AISTATS 2020 Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning Yao Zhang, Daniel Jarrett, Mihaela Schaar

NeurIPS 2020 Strictly Batch Imitation Learning by Energy-Based Distribution Matching Daniel Jarrett, Ioana Bica, Mihaela van der Schaar

ICLR 2020 Target-Embedding Autoencoders for Supervised Representation Learning Daniel Jarrett, Mihaela van der Schaar

NeurIPS 2019 Time-Series Generative Adversarial Networks Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar