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Fix Fairness, Don't Ruin Accuracy: Performance Aware Fairness Repair using AutoML
15 June 2023
Giang Nguyen
Sumon Biswas
Hridesh Rajan
FaML
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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
Yining She
Sumon Biswas
Christian Kastner
Eunsuk Kang
40
0
0
03 Jan 2025
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
Antonio Candelieri
Andrea Ponti
F. Archetti
25
15
0
18 May 2022
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
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
Alexandra Chouldechova
FaML
192
2,082
0
24 Oct 2016
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