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Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair
  using AutoML

Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML

15 June 2023
Giang Nguyen
Sumon Biswas
Hridesh Rajan
    FaML
ArXivPDFHTML

Papers citing "Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML"

6 / 6 papers shown
Title
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems
Yining She
Sumon Biswas
Christian Kastner
Eunsuk Kang
40
0
0
03 Jan 2025
Bias Testing and Mitigation in LLM-based Code Generation
Bias Testing and Mitigation in LLM-based Code Generation
Dong Huang
Qingwen Bu
Jie M. Zhang
Xiaofei Xie
Junjie Chen
Heming Cui
36
20
0
03 Sep 2023
Fair and Green Hyperparameter Optimization via Multi-objective and
  Multiple Information Source Bayesian Optimization
Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization
Antonio Candelieri
Andrea Ponti
F. Archetti
25
15
0
18 May 2022
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
36
8
0
01 Feb 2022
Manas: Mining Software Repositories to Assist AutoML
Manas: Mining Software Repositories to Assist AutoML
Giang Nguyen
Johir Islam
Rangeet Pan
Hridesh Rajan
43
15
0
06 Dec 2021
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
192
2,082
0
24 Oct 2016
1