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11/18/2022
Curiosity in hindsight
Consider the exploration in sparse-reward or reward-free environments, s...
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06/15/2022
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection
Consider the problem of imputing missing values in a dataset. One the on...
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07/13/2021
Inverse Contextual Bandits: Learning How Behavior Evolves over Time
Understanding an agent's priorities by observing their behavior is criti...
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06/08/2021
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation
Understanding decision-making in clinical environments is of paramount i...
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07/23/2020
Hide-and-Seek Privacy Challenge
The clinical time-series setting poses a unique combination of challenge...
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06/25/2020
Strictly Batch Imitation Learning by Energy-based Distribution Matching
Consider learning a policy purely on the basis of demonstrated behavior—...
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06/25/2020
Inverse Active Sensing: Modeling and Understanding Timely Decision-Making
Evidence-based decision-making entails collecting (costly) observations ...
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01/23/2020
Target-Embedding Autoencoders for Supervised Representation Learning
Autoencoder-based learning has emerged as a staple for disciplining repr...
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01/12/2020
Stepwise Model Selection for Sequence Prediction via Deep Kernel Learning
An essential problem in automated machine learning (AutoML) is that of m...
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11/26/2018