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Fair Representation Learning through Implicit Path Alignment

Fair Representation Learning through Implicit Path Alignment

26 May 2022
Changjian Shui
Qi Chen
Jiaqi Li
Boyu Wang
Christian Gagné
ArXivPDFHTML

Papers citing "Fair Representation Learning through Implicit Path Alignment"

4 / 4 papers shown
Title
On Learning Fairness and Accuracy on Multiple Subgroups
On Learning Fairness and Accuracy on Multiple Subgroups
Changjian Shui
Gezheng Xu
Qi Chen
Jiaqi Li
Charles X. Ling
Tal Arbel
Boyu Wang
Christian Gagné
19
37
0
19 Oct 2022
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
283
4,143
0
23 Aug 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
205
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
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