Daniel Jarrett

According to our database, Daniel Jarrett authored at least 27 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning.

Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar

CoRR, 2023

Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples.

Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems.

Jeroen Berrevoets, Daniel Jarrett, Alex J. Chan, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments.

Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Rémi Munos, Michal Valko

Proceedings of the International Conference on Machine Learning, 2023

2022

Curiosity in hindsight.

Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Rémi Munos, Michal Valko

CoRR, 2022

Online Decision Mediation.

Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

HyperImpute: Generalized Iterative Imputation with Automatic Model Selection.

Daniel Jarrett, Bogdan Cebere, Tennison Liu, Alicia Curth, Mihaela van der Schaar

Proceedings of the International Conference on Machine Learning, 2022

Inverse Contextual Bandits: Learning How Behavior Evolves over Time.

Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar

Proceedings of the International Conference on Machine Learning, 2022

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

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Time-series Generation by Contrastive Imitation.

Daniel Jarrett, Ioana Bica, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation.

Alex J. Chan, Ioana Bica, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Invariant Causal Imitation Learning for Generalizable Policies.

Ioana Bica, Daniel Jarrett, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Inverse Decision Modeling: Learning Interpretable Representations of Behavior.

Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar

Proceedings of the 38th International Conference on Machine Learning, 2021

Clairvoyance: A Pipeline Toolkit for Medical Time Series.

Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar

Proceedings of the 9th International Conference on Learning Representations, 2021

Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning.

Alihan Hüyük, Daniel Jarrett, Cem Tekin, Mihaela van der Schaar

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning "What-if" Explanations for Sequential Decision-Making.

Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar

Proceedings of the 9th International Conference on Learning Representations, 2021

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

Batch Inverse Reinforcement Learning Using Counterfactuals for Understanding Decision Making.

Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar

CoRR, 2020

Hide-and-Seek Privacy Challenge.

James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar

CoRR, 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, Danielle Belgrave, Mihaela van der Schaar

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Strictly Batch Imitation Learning by Energy-based Distribution Matching.

Daniel Jarrett, Ioana Bica, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Inverse Active Sensing: Modeling and Understanding Timely Decision-Making.

Daniel Jarrett, Mihaela van der Schaar

Proceedings of the 37th International Conference on Machine Learning, 2020

Target-Embedding Autoencoders for Supervised Representation Learning.

Daniel Jarrett, Mihaela van der Schaar

Proceedings of the 8th International Conference on Learning Representations, 2020

Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning.

Yao Zhang, Daniel Jarrett, Mihaela van der Schaar

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Time-series Generative Adversarial Networks.

Jinsung Yoon, Daniel Jarrett, Mihaela van der Schaar

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

MATCH-Net: Dynamic Prediction in Survival Analysis using Convolutional Neural Networks.

Daniel Jarrett, Jinsung Yoon, Mihaela van der Schaar

CoRR, 2018