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20192026
most citedA Uniform Concentration Inequality for Kernel-Based Two-Sample Statistics

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stat.ML2025

Kernel-based Equalized Odds: A Quantification of Accuracy-Fairness Trade-off in Fair Representation Learning

Yijin Ni, Xiaoming Huo

This paper introduces a novel kernel-based formulation of the Equalized Odds (EO) criterion, denoted as , for fair representation learning (FRL) in supervised settings. The c…