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Learning Fair Policies for Multi-stage Selection Problems from
  Observational Data

Learning Fair Policies for Multi-stage Selection Problems from Observational Data

20 December 2023
Zhuangzhuang Jia
G. A. Hanasusanto
P. Vayanos
Weijun Xie
    FaML
ArXivPDFHTML

Papers citing "Learning Fair Policies for Multi-stage Selection Problems from Observational Data"

5 / 5 papers shown
Title
Fairness in Machine Learning
Fairness in Machine Learning
L. Oneto
Silvia Chiappa
FaML
277
494
0
31 Dec 2020
Unbiased Subdata Selection for Fair Classification: A Unified Framework
  and Scalable Algorithms
Unbiased Subdata Selection for Fair Classification: A Unified Framework and Scalable Algorithms
Qing Ye
Weijun Xie
FaML
54
13
0
22 Dec 2020
Residual Unfairness in Fair Machine Learning from Prejudiced Data
Residual Unfairness in Fair Machine Learning from Prejudiced Data
Nathan Kallus
Angela Zhou
FaML
146
136
0
07 Jun 2018
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
192
4,301
0
07 Oct 2016
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
169
1,984
0
11 Dec 2014
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