2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Optimising Human-AI Collaboration by Learning Convincing Explanations
Alex J. Chan, Alihan Huyuk, Mihaela van der Schaar
Machine learning models are being increasingly deployed to take, or assist in taking, complicated and high-impact decisions, from quasi-autonomous vehicles to clinical decision sup…
cs.LG2023
When is Off-Policy Evaluation (Reward Modeling) Useful in Contextual Bandits? A Data-Centric Perspective
Hao Sun, Alex J. Chan, Nabeel Seedat +2
Evaluating the value of a hypothetical target policy with only a logged dataset is important but challenging. On the one hand, it brings opportunities for safe policy improvement u…
cs.LG2021★ 2 cited
The Medkit-Learn(ing) Environment: Medical Decision Modelling through Simulation
Alex J. Chan, Ioana Bica, Alihan Huyuk +2
Understanding decision-making in clinical environments is of paramount importance if we are to bring the strengths of machine learning to ultimately improve patient outcomes. Sever…