3 papers
stat.ML2026
Winner's Curse Drives False Promises in Data-Driven Decisions: A Case Study in Refugee Matching
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 st…
stat.ML2026
Beating the Winner's Curse via Inference-Aware Policy Optimization
Hamsa Bastani, Osbert Bastani, Bryce McLaughlin
There has been a surge of recent interest in automatically learning policies to target treatment decisions based on rich individual covariates. In addition, practitioners want conf…
cs.LG2025
Algorithmic Assistance with Recommendation-Dependent Preferences
Bryce McLaughlin, Jann Spiess
When an algorithm provides risk assessments, we typically think of them as helpful inputs to human decisions, such as when risk scores are presented to judges or doctors. However,…