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A Maximal Correlation Approach to Imposing Fairness in Machine Learning

A Maximal Correlation Approach to Imposing Fairness in Machine Learning

30 December 2020
Joshua K. Lee
Yuheng Bu
P. Sattigeri
Yikang Shen
G. Wornell
Leonid Karlinsky
Rogerio Feris
    FaML
ArXivPDFHTML

Papers citing "A Maximal Correlation Approach to Imposing Fairness in Machine Learning"

4 / 4 papers shown
Title
dsld: A Socially Relevant Tool for Teaching Statistics
dsld: A Socially Relevant Tool for Teaching Statistics
Taha Abdullah
Arjun Ashok
Brandon Estrada
Norman Matloff
Aditya Mittal
Norman Matloff
Aditya Mittal
37
0
0
06 Nov 2024
From Discrete to Continuous: Deep Fair Clustering With Transferable
  Representations
From Discrete to Continuous: Deep Fair Clustering With Transferable Representations
Xiang Zhang
32
0
0
24 Mar 2024
Fair Supervised Learning with A Simple Random Sampler of Sensitive
  Attributes
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes
Jinwon Sohn
Qifan Song
Guang Lin
FaML
34
1
0
10 Nov 2023
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
2,087
0
24 Oct 2016
1