Matching Code and Law: Achieving Algorithmic Fairness with Optimal Transport

21 December 2017

Papers citing "Matching Code and Law: Achieving Algorithmic Fairness with Optimal Transport"

3 / 3 papers shown

Title
Review of Mathematical frameworks for Fairness in Machine Learning E. del Barrio Paula Gordaliza Jean-Michel Loubes FaML FedML 15 39 0 26 May 2020
Projection to Fairness in Statistical Learning Thibaut Le Gouic Jean-Michel Loubes Philippe Rigollet 33 3 0 24 May 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016