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Fast Fair Regression via Efficient Approximations of Mutual Information

Fast Fair Regression via Efficient Approximations of Mutual Information

14 February 2020
D. Steinberg
Alistair Reid
S. O'Callaghan
Finnian Lattimore
L. McCalman
Tibério S. Caetano
    FaML
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Papers citing "Fast Fair Regression via Efficient Approximations of Mutual Information"

3 / 3 papers shown
Title
Practical Approaches for Fair Learning with Multitype and Multivariate
  Sensitive Attributes
Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes
Tennison Liu
Alex J. Chan
B. V. Breugel
M. Schaar
FaML
20
2
0
11 Nov 2022
Gradual (In)Compatibility of Fairness Criteria
Gradual (In)Compatibility of Fairness Criteria
Corinna Hertweck
T. Raz
22
12
0
09 Sep 2021
Review of Mathematical frameworks for Fairness in Machine Learning
Review of Mathematical frameworks for Fairness in Machine Learning
E. del Barrio
Paula Gordaliza
Jean-Michel Loubes
FaML
FedML
15
38
0
26 May 2020
1