Obtaining Fairness using Optimal Transport Theory
Paula Gordaliza ⋅ Eustasio del Barrio ⋅ Gamboa Fabrice ⋅ Loubes Jean-Michel
2019 Poster
Abstract
In the fair classification setup, we recast the links between fairness and predictability in terms of probability metrics. We analyze repair methods based on mapping conditional distributions to the Wasserstein barycenter. We propose a Random Repair which yields a tradeoff between minimal information loss and a certain amount of fairness.
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