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FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine
  Learning Software

FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software

23 May 2023
Ying Xiao
Shangwen Wang
Sicen Liu
Dingyuan Xue
Xian Zhan
Yepang Liu
    CML
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Papers citing "FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software"

3 / 3 papers shown
Title
User-oriented Fairness in Recommendation
User-oriented Fairness in Recommendation
Yunqi Li
H. Chen
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
FaML
102
230
0
21 Apr 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
332
4,223
0
23 Aug 2019
A Random Forest Guided Tour
A Random Forest Guided Tour
Gérard Biau
Erwan Scornet
AI4TS
158
2,729
0
18 Nov 2015
1