4 citations · 6 across the 6 of their papers we have counts for
6 papers
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…
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…
Designing Algorithmic Recommendations to Achieve Human-AI Complementarity
Bryce McLaughlin, Jann Spiess
Algorithms frequently assist, rather than replace, human decision-makers. However, the design and analysis of algorithms often focus on predicting outcomes and do not explicitly mo…
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,…
On the Fairness of Machine-Assisted Human Decisions
Talia Gillis, Bryce McLaughlin, Jann Spiess
When machine-learning algorithms are used in high-stakes decisions, we want to ensure that their deployment leads to fair and equitable outcomes. This concern has motivated a fast-…
On Distinct Distances Between a Variety and a Point Set
Bryce McLaughlin, Mohamed Omar
We consider the problem of determining the number of distinct distances between two point sets in where one point set of size lies on a real alge…