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Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data
  and Bayesian Inference

Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference

19 October 2020
Disi Ji
Padhraic Smyth
M. Steyvers
ArXivPDFHTML

Papers citing "Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference"

5 / 5 papers shown
Title
A structured regression approach for evaluating model performance across
  intersectional subgroups
A structured regression approach for evaluating model performance across intersectional subgroups
Christine Herlihy
Kimberly Truong
Alexandra Chouldechova
Miroslav Dudik
12
4
0
26 Jan 2024
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions
  Despite Fluctuations
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations
Ainhize Barrainkua
Paula Gordaliza
Jose A. Lozano
Novi Quadrianto
13
1
0
02 Feb 2023
Don't Lie to Me: Avoiding Malicious Explanations with STEALTH
Don't Lie to Me: Avoiding Malicious Explanations with STEALTH
Lauren Alvarez
Tim Menzies
10
2
0
25 Jan 2023
Bounding and Approximating Intersectional Fairness through Marginal
  Fairness
Bounding and Approximating Intersectional Fairness through Marginal Fairness
M. Molina
P. Loiseau
11
7
0
12 Jun 2022
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
185
2,079
0
24 Oct 2016
1