MATCH-Net: Dynamic Prediction in Survival Analysis using Convolutional Neural Networks. - Daniel Jarrett; Jinsung Yoon; Mihaela van der Schaar (CoRR, 2018)

Time-series Generative Adversarial Networks. - Jinsung Yoon; Daniel Jarrett; Mihaela van der Schaar (NeurIPS, 2019)

Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning. - Yao Zhang; Daniel Jarrett; Mihaela van der Schaar (AISTATS, 2020)

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

Inverse Active Sensing: Modeling and Understanding Timely Decision-Making. - Daniel Jarrett; Mihaela van der Schaar (ICML, 2020)

Strictly Batch Imitation Learning by Energy-based Distribution Matching. - Daniel Jarrett; Ioana Bica; Mihaela van der Schaar (NeurIPS, 2020)

Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification. - James Jordon; Daniel Jarrett; Evgeny Saveliev; Jinsung Yoon; Paul W. G. Elbers; Patrick Thoral; Ari Ercole; Cheng Zhang 005; Danielle Belgrave; Mihaela van der Schaar (NeurIPS (Competition and Demos), 2020)

Hide-and-Seek Privacy Challenge. - James Jordon; Daniel Jarrett; Jinsung Yoon; Tavian Barnes; Paul W. G. Elbers; Patrick Thoral; Ari Ercole; Cheng Zhang 005; Danielle Belgrave; Mihaela van der Schaar (CoRR, 2020)

Batch Inverse Reinforcement Learning Using Counterfactuals for Understanding Decision Making. - Ioana Bica; Daniel Jarrett; Alihan Hüyük; Mihaela van der Schaar (CoRR, 2020)

Dynamic Prediction in Clinical Survival Analysis Using Temporal Convolutional Networks. - Daniel Jarrett; Jinsung Yoon; Mihaela van der Schaar (IEEE J. Biomed. Health Informatics, 2020)

Learning "What-if" Explanations for Sequential Decision-Making. - Ioana Bica; Daniel Jarrett; Alihan Hüyük; 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 (ICLR, 2021)

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

Inverse Decision Modeling: Learning Interpretable Representations of Behavior. - Daniel Jarrett; Alihan Hüyük; Mihaela van der Schaar (ICML, 2021)

Invariant Causal Imitation Learning for Generalizable Policies. - Ioana Bica; Daniel Jarrett; Mihaela van der Schaar (NeurIPS, 2021)

The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation. - Alex J. Chan; Ioana Bica; Alihan Hüyük; Daniel Jarrett; Mihaela van der Schaar (NeurIPS Datasets and Benchmarks, 2021)

Time-series Generation by Contrastive Imitation. - Daniel Jarrett; Ioana Bica; 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 (NeurIPS, 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 (Mach. Learn., 2021)

Inverse Contextual Bandits: Learning How Behavior Evolves over Time. - Alihan Hüyük; Daniel Jarrett; Mihaela van der Schaar (ICML, 2022)

HyperImpute: Generalized Iterative Imputation with Automatic Model Selection. - Daniel Jarrett; Bogdan Cebere; Tennison Liu; Alicia Curth; Mihaela van der Schaar (ICML, 2022)

Online Decision Mediation. - Daniel Jarrett; Alihan Hüyük; Mihaela van der Schaar (NeurIPS, 2022)

Curiosity in hindsight. - Daniel Jarrett; Corentin Tallec; Florent Altché; Thomas Mesnard; Rémi Munos; Michal Valko (CoRR, 2022)

Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments. - Daniel Jarrett; Corentin Tallec; Florent Altché; Thomas Mesnard; Rémi Munos; Michal Valko (ICML, 2023)

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

Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples. - Hao Sun 017; Alihan Hüyük; Daniel Jarrett; Mihaela van der Schaar (NeurIPS, 2023)

Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. - Alihan Hüyük; Daniel Jarrett; Mihaela van der Schaar (CoRR, 2023)

Language Agents as Digital Representatives in Collective Decision-Making. - Daniel Jarrett; Miruna Pîslar; Michiel A. Bakker; Michael Henry Tessler; Raphael Köster; Jan Balaguer; Romuald Elie; Christopher Summerfield; Andrea Tacchetti (CoRR, 2025)