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stat.ML2026
A Hierarchy of Policy Learning Problems
Hamsa Bastani, Osbert Bastani, Shihan Chen
Policy learning has received substantial attention with the goal of learning policies from observational data for decision-making. A majority of work in this space has focused on d…
stat.ML2026
Learning to target with network interference
Xiaomeng Wang, Hamsa Bastani, Osbert Bastani +1
This paper studies adaptive targeting under network interference in a bandit setting, where treatments applied to one individual may affect others through spillover effects. We con…
stat.ML2026
Winner's Curse Drives False Promises in Data-Driven Decisions
Hamsa Bastani, Osbert Bastani, Bryce McLaughlin
A major challenge in data-driven decision-making is accurate policy evaluation---i.e., guaranteeing that a learned decision-making policy achieves the promised benefits. A popular…