Author

Michael I. Jordan

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#machine learning Aug 2025

The Statistical Fairness-Accuracy Frontier

This work focuses on the finite-sample regime, quantifying how well a designer can approximate any point on the FA frontier from limited data and bounding the worst-case gap, and derives worst-case-optimal estimators that depend on the designer's knowledge of the covariate distribution.

Alireza Fallah, Michael I. Jordan, Annie Ulichney · arXiv.org · 2 citations