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Navigating Ensemble Configurations for Algorithmic Fairness

Navigating Ensemble Configurations for Algorithmic Fairness

11 October 2022
Michael Feffer
Martin Hirzel
Samuel C. Hoffman
Kiran Kate
Parikshit Ram
Avraham Shinnar
    FedML
    FaML
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Papers citing "Navigating Ensemble Configurations for Algorithmic Fairness"

3 / 3 papers shown
Title
An Empirical Study of Modular Bias Mitigators and Ensembles
An Empirical Study of Modular Bias Mitigators and Ensembles
Michael Feffer
Martin Hirzel
Samuel C. Hoffman
Kiran Kate
Parikshit Ram
Avraham Shinnar
38
8
0
01 Feb 2022
FairAutoML: Embracing Unfairness Mitigation in AutoML
FairAutoML: Embracing Unfairness Mitigation in AutoML
Qingyun Wu
Chi Wang
FaML
42
5
0
11 Nov 2021
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
192
742
0
13 Dec 2018
1