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Calibrated Fairness in Bandits

Calibrated Fairness in Bandits

6 July 2017
Yang Liu
Goran Radanović
Christos Dimitrakakis
Debmalya Mandal
David C. Parkes
    FedML
    FaML
ArXivPDFHTML

Papers citing "Calibrated Fairness in Bandits"

4 / 4 papers shown
Title
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
Usman Gohar
Zeyu Tang
Jialu Wang
Kun Zhang
Peter Spirtes
Yang Liu
Lu Cheng
FaML
94
3
0
10 Jun 2024
An Empirical Study on Learning Fairness Metrics for COMPAS Data with
  Human Supervision
An Empirical Study on Learning Fairness Metrics for COMPAS Data with Human Supervision
Hanchen Wang
Nina Grgic-Hlaca
Preethi Lahoti
Krishna P. Gummadi
Adrian Weller
FaML
137
26
0
22 Oct 2019
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
295
2,109
0
24 Oct 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
204
4,301
0
07 Oct 2016
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