Fairness in Machine Learning

31 December 2020

L. Oneto

Silvia Chiappa

FaML

Papers citing "Fairness in Machine Learning"

6 / 6 papers shown

Title
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 25 619 0 17 Feb 2018
How Algorithmic Confounding in Recommendation Systems Increases Homogeneity and Decreases Utility A. Chaney Brandon M Stewart Barbara E. Engelhardt CML 26 281 0 30 Oct 2017
Discriminatory Transfer Chao Lan Jun Huan FaML 22 18 0 03 Jul 2017
A statistical framework for fair predictive algorithms K. Lum J. Johndrow FaML 19 94 0 25 Oct 2016
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 34 1911 0 24 Oct 2016
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML BDL OOD 27 656 0 12 May 2016