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Adversarial Reweighting Guided by Wasserstein Distance for Bias
  Mitigation

Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation

21 November 2023
Xuan Zhao
Simone Fabbrizzi
Paula Reyero Lobo
Siamak Ghodsi
Klaus Broelemann
Steffen Staab
Gjergji Kasneci
ArXivPDFHTML

Papers citing "Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation"

4 / 4 papers shown
Title
Fairness with Continuous Optimal Transport
Fairness with Continuous Optimal Transport
Silvia Chiappa
Aldo Pacchiano
OT
34
12
0
06 Jan 2021
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
233
673
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
207
2,082
0
24 Oct 2016
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
99
570
0
08 Dec 2012
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