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FlipTest: Fairness Testing via Optimal Transport

FlipTest: Fairness Testing via Optimal Transport

21 June 2019
Emily Black
Samuel Yeom
Matt Fredrikson
ArXivPDFHTML

Papers citing "FlipTest: Fairness Testing via Optimal Transport"

5 / 55 papers shown
Title
Review of Mathematical frameworks for Fairness in Machine Learning
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
Projection to Fairness in Statistical Learning
Thibaut Le Gouic
Jean-Michel Loubes
Philippe Rigollet
19
3
0
24 May 2020
A survey of bias in Machine Learning through the prism of Statistical
  Parity for the Adult Data Set
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set
Philippe C. Besse
E. del Barrio
Paula Gordaliza
Jean-Michel Loubes
Laurent Risser
FaML
22
63
0
31 Mar 2020
Explaining Machine Learning Models using Entropic Variable Projection
Explaining Machine Learning Models using Entropic Variable Projection
François Bachoc
Fabrice Gamboa
Max Halford
Jean-Michel Loubes
Laurent Risser
FAtt
12
5
0
18 Oct 2018
Fair prediction with disparate impact: A study of bias in recidivism
  prediction instruments
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,091
0
24 Oct 2016
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