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SLIDE: a surrogate fairness constraint to ensure fairness consistency

SLIDE: a surrogate fairness constraint to ensure fairness consistency

7 February 2022
Kunwoong Kim
Ilsang Ohn
Sara Kim
Yongdai Kim
ArXivPDFHTML

Papers citing "SLIDE: a surrogate fairness constraint to ensure fairness consistency"

4 / 4 papers shown
Title
ReLU integral probability metric and its applications
ReLU integral probability metric and its applications
Yuha Park
Kunwoong Kim
Insung Kong
Yongdai Kim
34
0
0
26 Apr 2025
Evaluating Fairness of Machine Learning Models Under Uncertain and
  Incomplete Information
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information
Pranjal Awasthi
Alex Beutel
Matthaeus Kleindessner
Jamie Morgenstern
Xuezhi Wang
FaML
54
55
0
16 Feb 2021
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
299
4,203
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
221
673
0
17 Feb 2018
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