Bounding and Approximating Intersectional Fairness through Marginal Fairness

Mathieu Molina, Patrick Loiseau

Discrimination in machine learning often arises along multiple dimensions (a.k.a. protected attributes); it is then desirable to ensure \emph{intersectional fairness} -- i.e., that…