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Increasing Fairness via Combination with Learning Guarantees

Increasing Fairness via Combination with Learning Guarantees

25 January 2023
Yijun Bian
Anton van den Hengel
    FaML
ArXivPDFHTML

Papers citing "Increasing Fairness via Combination with Learning Guarantees"

5 / 5 papers shown
Title
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation
FairSHAP: Preprocessing for Fairness Through Attribution-Based Data Augmentation
Lin Zhu
Yijun Bian
Lei You
TDI
26
0
0
16 May 2025
Does Machine Bring in Extra Bias in Learning? Approximating Fairness in
  Models Promptly
Does Machine Bring in Extra Bias in Learning? Approximating Fairness in Models Promptly
Yijun Bian
Yujie Luo
FaML
19
0
0
15 May 2024
Causal Conceptions of Fairness and their Consequences
Causal Conceptions of Fairness and their Consequences
H. Nilforoshan
Johann D. Gaebler
Ravi Shroff
Sharad Goel
FaML
134
45
0
12 Jul 2022
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
Second Order PAC-Bayesian Bounds for the Weighted Majority Vote
A. Masegosa
S. Lorenzen
Christian Igel
Yevgeny Seldin
34
40
0
01 Jul 2020
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
2,084
0
24 Oct 2016
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