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Fairness criteria through the lens of directed acyclic graphical models

Fairness criteria through the lens of directed acyclic graphical models

Benjamin R. Baer
Daniel E. Gilbert
M. Wells
    FaML
ArXiv (abs)PDFHTML

Papers citing "Fairness criteria through the lens of directed acyclic graphical models"

5 / 5 papers shown
Title
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning
A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning
Caleb J. S. Barr
Olivia Erdelyi
Paul D. Docherty
Randolph C. Grace
FaML
200
0
0
10 Nov 2024
Causal foundations of bias, disparity and fairness
Causal foundations of bias, disparity and fairness
V. Traag
L. Waltman
CML
36
11
0
27 Jul 2022
Gradual (In)Compatibility of Fairness Criteria
Gradual (In)Compatibility of Fairness Criteria
Corinna Hertweck
T. Raz
79
12
0
09 Sep 2021
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition
Explaining Algorithmic Fairness Through Fairness-Aware Causal Path Decomposition
Weishen Pan
Sen Cui
Jiang Bian
Changshui Zhang
Fei Wang
CMLFaML
122
35
0
11 Aug 2021
Abstracting Fairness: Oracles, Metrics, and Interpretability
Abstracting Fairness: Oracles, Metrics, and Interpretability
Cynthia Dwork
Christina Ilvento
G. Rothblum
Pragya Sur
FaML
70
8
0
04 Apr 2020

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