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stat.ML202310 cited

Invariant Causal Imitation Learning for Generalizable Policies

Ioana Bica, Daniel Jarrett, Mihaela van der Schaar

Consider learning an imitation policy on the basis of demonstrated behavior from multiple environments, with an eye towards deployment in an unseen environment. Since the observabl…

stat.ML20237 cited

Time-series Generation by Contrastive Imitation

Daniel Jarrett, Ioana Bica, Mihaela van der Schaar

Consider learning a generative model for time-series data. The sequential setting poses a unique challenge: Not only should the generator capture the conditional dynamics of (stepw…

stat.ML20235 cited

Explaining by Imitating: Understanding Decisions by Interpretable Policy Learning

Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar

Understanding human behavior from observed data is critical for transparency and accountability in decision-making. Consider real-world settings such as healthcare, in which modeli…

stat.ML2023

Online Decision Mediation

Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar

Consider learning a decision support assistant to serve as an intermediary between (oracle) expert behavior and (imperfect) human behavior: At each time, the algorithm observes an…

stat.ML20234 cited

Inverse Decision Modeling: Learning Interpretable Representations of Behavior

Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar

Decision analysis deals with modeling and enhancing decision processes. A principal challenge in improving behavior is in obtaining a transparent description of existing behavior i…