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Towards Better Fairness-Utility Trade-off: A Comprehensive Measurement-Based Reinforcement Learning Framework
21 July 2023
Simiao Zhang
Jitao Bai
Menghong Guan
Yihao Huang
Yueling Zhang
Jun Sun
G. Pu
FaML
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Papers citing
"Towards Better Fairness-Utility Trade-off: A Comprehensive Measurement-Based Reinforcement Learning Framework"
5 / 5 papers shown
Title
A Theoretical Approach to Characterize the Accuracy-Fairness Trade-off Pareto Frontier
Hua Tang
Lu Cheng
Ninghao Liu
Mengnan Du
FaML
27
1
0
19 Oct 2023
Achieving Fairness at No Utility Cost via Data Reweighing with Influence
Peizhao Li
Hongfu Liu
TDI
34
45
0
01 Feb 2022
Group-Aware Threshold Adaptation for Fair Classification
T. Jang
P. Shi
Xiaoqian Wang
FaML
83
36
0
08 Nov 2021
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
323
4,203
0
23 Aug 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments
Alexandra Chouldechova
FaML
207
2,082
0
24 Oct 2016
1