Obtaining Fairness using Optimal Transport Theory Authors: Eustasio - PowerPoint PPT Presentation

Feb 08, 2023 •493 likes •662 views

Obtaining Fairness using Optimal Transport Theory Authors: Eustasio del Barrio, Fabrice Gamboa, Paula Gordaliza , Jean-Michel Loubes Presenter: Theo Hu Fairness Definition in this paper Demographic Parity: Basically says that your prediction

Obtaining Fairness using Optimal Transport Theory Authors: Eustasio del Barrio, Fabrice Gamboa, Paula Gordaliza , Jean-Michel Loubes Presenter: Theo Hu
Fairness Definition in this paper Demographic Parity: Basically says that your prediction should be independent of sensitive attribute S · Disparate Impact(DI) · Balanced Error Rate(BER)
Total Variation Distance is a good way to bound unfairness
Two general ways of removing ‘unfairness’
Total Repair and Wasserstein barycenter
Total Repair and Wasserstein barycenter
Computing Barycenter
Bound of Utility Lost
Total vs. Partial Repair
Random Repair and its guarantee
Comparison to Geometric Repair (Previous work)
Computational Aspects
Computational Aspects- Total Repair
Computational Aspects- Random Repair
Experiments
Case that Random Repair beats Geometric Repair

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