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How optimal transport can tackle gender biases in multi-class
  neural-network classifiers for job recommendations?

How optimal transport can tackle gender biases in multi-class neural-network classifiers for job recommendations?

27 February 2023
Fanny Jourdan
Titon Tshiongo Kaninku
Nicholas M. Asher
Jean-Michel Loubes
Laurent Risser
    FaML
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Papers citing "How optimal transport can tackle gender biases in multi-class neural-network classifiers for job recommendations?"

3 / 3 papers shown
Title
Fairness guarantee in multi-class classification
Fairness guarantee in multi-class classification
Christophe Denis
Romuald Elie
Mohamed Hebiri
Franccois Hu
FaML
28
47
0
28 Sep 2021
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
210
663
0
17 Feb 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
185
2,079
0
24 Oct 2016
1