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Generating Fair Universal Representations using Adversarial Models

Generating Fair Universal Representations using Adversarial Models

27 September 2019
Peter Kairouz
Jiachun Liao
Chong Huang
Maunil R. Vyas
Monica Welfert
Lalitha Sankar
ArXivPDFHTML

Papers citing "Generating Fair Universal Representations using Adversarial Models"

3 / 3 papers shown
Title
Long-Term Fairness in Sequential Multi-Agent Selection with Positive
  Reinforcement
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement
Bhagyashree Puranik
Ozgur Guldogan
Upamanyu Madhow
Ramtin Pedarsani
38
0
0
10 Jul 2024
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
236
676
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
2,092
0
24 Oct 2016
1