General Frameworks for Conditional Two-Sample Testing

ArXi:2410.16636v2 Announce Type: replace-cross We study the problem of conditional two-sample testing, which aims to determine whether two populations have the same distribution after accounting for confounding factors. This problem commonly arises in various applications, such as domain adaptation and algorithmic fairness, where comparing two groups is essential while controlling for confounding variables.