D. Jarrett*, A. Hüyük*, M. van der Schaar |
Inverse Decision Modeling: Learning Interpretable Representations of Behavior |
ICML 2021 |
Link |
Code |
D. Jarrett*, J. Yoon*, I. Bica, Z. Qian, A. Ercole, M. van der Schaar |
Clairvoyance: A Pipeline Toolkit for Medical Time Series |
ICLR 2021 |
Link |
Code |
A. Hüyük*, D. Jarrett*, C. Tekin, M. van der Schaar |
Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning |
ICLR 2021 |
Link |
Code |
I. Bica, D. Jarrett, A. Hüyük, M. van der Schaar |
Learning "What-If" Explanations for Sequential Decision-Making |
ICLR 2021 |
Link |
Code |
D. Jarrett*, I. Bica*, M. van der Schaar |
Strictly Batch Imitation Learning by Energy-based Distribution Matching |
NeurIPS 2020 |
Link |
Code |
J. Jordon, D. Jarrett, J. Yoon, ..., D. Belgrave, M. van der Schaar |
Hide-and-Seek Privacy Challenge |
NeurIPS 2020 |
Link |
Code |
D. Jarrett, M. van der Schaar |
Inverse Active Sensing: Modeling and Understanding Timely Decision-Making |
ICML 2020 |
Link |
Code |
Y. Zhang, D. Jarrett, M. van der Schaar |
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning |
AISTATS 2020 |
Link |
Code |
D. Jarrett, M. van der Schaar |
Target-Embedding Autoencoders for Supervised Representation Learning |
ICLR 2020 |
Link |
Code |
J. Yoon*, D. Jarrett*, M. van der Schaar |
Time-series Generative Adversarial Networks |
NeurIPS 2019 |
Link |
Code |