Daniel Jarrett

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 40

Top Topics

Chronic Hepatitis

Automatic Model Selection

Survival Analysis

Medical Decision Support

Top Venues

Publications

Jeroen Berrevoets, Daniel Jarrett, Alex J. Chan, Mihaela van der Schaar
AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems. NeurIPS (2023)
Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
Inverse Decision Modeling: Learning Interpretable Representations of Behavior. CoRR (2023)
Ioana Bica, Daniel Jarrett, Mihaela van der Schaar
Invariant Causal Imitation Learning for Generalizable Policies. CoRR (2023)
Daniel Jarrett, Ioana Bica, Mihaela van der Schaar
Time-series Generation by Contrastive Imitation. CoRR (2023)
Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Rémi Munos, Michal Valko
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments. ICML (2023)
Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar
Clairvoyance: A Pipeline Toolkit for Medical Time Series. CoRR (2023)
Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
Online Decision Mediation. CoRR (2023)
Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples. CoRR (2023)
Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. CoRR (2023)
Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples. NeurIPS (2023)
Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
Online Decision Mediation. NeurIPS (2022)
Daniel Jarrett, Bogdan Cebere, Tennison Liu, Alicia Curth, Mihaela van der Schaar
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection. CoRR (2022)
Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Rémi Munos, Michal Valko
Curiosity in hindsight. CoRR (2022)
Daniel Jarrett, Bogdan Cebere, Tennison Liu, Alicia Curth, Mihaela van der Schaar
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection. ICML (2022)
Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
Inverse Contextual Bandits: Learning How Behavior Evolves over Time. ICML (2022)
Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
Inverse Contextual Bandits: Learning How Behavior Evolves over Time. CoRR (2021)
Yuchao Qin, Fergus Imrie, Alihan Hüyük, Daniel Jarrett, Alexander Gimson, Mihaela van der Schaar
Closing the loop in medical decision support by understanding clinical decision-making: A case study on organ transplantation. NeurIPS (2021)
Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar
Clairvoyance: A Pipeline Toolkit for Medical Time Series. ICLR (2021)
Daniel Jarrett, Ioana Bica, Mihaela van der Schaar
Time-series Generation by Contrastive Imitation. NeurIPS (2021)
Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
Inverse Decision Modeling: Learning Interpretable Representations of Behavior. ICML (2021)
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
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19. Mach. Learn. 110 (1) (2021)
Alex J. Chan, Ioana Bica, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation. NeurIPS Datasets and Benchmarks (2021)
Alihan Hüyük, Daniel Jarrett, Cem Tekin, Mihaela van der Schaar
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning. ICLR (2021)
Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
Learning "What-if" Explanations for Sequential Decision-Making. ICLR (2021)
Ioana Bica, Daniel Jarrett, Mihaela van der Schaar
Invariant Causal Imitation Learning for Generalizable Policies. NeurIPS (2021)
Alex J. Chan, Ioana Bica, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation. CoRR (2021)
James Jordon, Daniel Jarrett, Evgeny Saveliev, Jinsung Yoon, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar
Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification. NeurIPS (Competition and Demos) (2020)
Daniel Jarrett, Mihaela van der Schaar
Target-Embedding Autoencoders for Supervised Representation Learning. CoRR (2020)
Yao Zhang, Daniel Jarrett, Mihaela van der Schaar
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning. CoRR (2020)
Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
Batch Inverse Reinforcement Learning Using Counterfactuals for Understanding Decision Making. CoRR (2020)
Daniel Jarrett, Mihaela van der Schaar
Inverse Active Sensing: Modeling and Understanding Timely Decision-Making. ICML (2020)
Daniel Jarrett, Ioana Bica, Mihaela van der Schaar
Strictly Batch Imitation Learning by Energy-based Distribution Matching. NeurIPS (2020)
Yao Zhang, Daniel Jarrett, Mihaela van der Schaar
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning. AISTATS (2020)
Daniel Jarrett, Ioana Bica, Mihaela van der Schaar
Strictly Batch Imitation Learning by Energy-based Distribution Matching. CoRR (2020)
Daniel Jarrett, Mihaela van der Schaar
Inverse Active Sensing: Modeling and Understanding Timely Decision-Making. CoRR (2020)
James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar
Hide-and-Seek Privacy Challenge. CoRR (2020)
Daniel Jarrett, Jinsung Yoon, Mihaela van der Schaar
Dynamic Prediction in Clinical Survival Analysis Using Temporal Convolutional Networks. IEEE J. Biomed. Health Informatics 24 (2) (2020)
Daniel Jarrett, Mihaela van der Schaar
Target-Embedding Autoencoders for Supervised Representation Learning. ICLR (2020)
Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar
Time-series Generative Adversarial Networks. NeurIPS (2019)
Daniel Jarrett, Jinsung Yoon, Mihaela van der Schaar
MATCH-Net: Dynamic Prediction in Survival Analysis using Convolutional Neural Networks. CoRR (2018)