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Counterfactual fairness: removing direct effects through regularization
v1v2 (latest)

Counterfactual fairness: removing direct effects through regularization

25 February 2020
Pietro G. Di Stefano
James M. Hickey
V. Vasileiou
    FaML
ArXiv (abs)PDFHTML

Papers citing "Counterfactual fairness: removing direct effects through regularization"

14 / 14 papers shown
Counterfactually Fair Conformal Prediction
Counterfactually Fair Conformal Prediction
Ozgur Guldogan
Neeraj Sarna
Yuanyuan Li
Michael Berger
203
1
0
09 Oct 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing
Jitao Wang
C. Shi
John D. Piette
Joshua R. Loftus
Donglin Zeng
Zhenke Wu
OffRL
556
3
0
10 Jan 2025
Counterfactual Fairness by Combining Factual and Counterfactual Predictions
Counterfactual Fairness by Combining Factual and Counterfactual PredictionsNeural Information Processing Systems (NeurIPS), 2024
Zeyu Zhou
Tianci Liu
Ruqi Bai
Jing Gao
Murat Kocaoglu
David I. Inouye
464
10
0
03 Sep 2024
Counterfactually Fair Representation
Counterfactually Fair Representation
Zhiqun Zuo
Mohammad Mahdi Khalili
Xueru Zhang
FaML
334
13
0
09 Nov 2023
Causal Context Connects Counterfactual Fairness to Robust Prediction and
  Group Fairness
Causal Context Connects Counterfactual Fairness to Robust Prediction and Group FairnessNeural Information Processing Systems (NeurIPS), 2023
Jacy Reese Anthis
Victor Veitch
267
21
0
30 Oct 2023
Consistent End-to-End Estimation for Counterfactual Fairness
Consistent End-to-End Estimation for Counterfactual Fairness
Yuchen Ma
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
319
3
0
26 Oct 2023
Towards Assumption-free Bias Mitigation
Towards Assumption-free Bias Mitigation
Chia-Yuan Chang
Yu-Neng Chuang
Kwei-Herng Lai
Xiaotian Han
Helen Zhou
Na Zou
229
4
0
09 Jul 2023
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
Bias Mitigation for Machine Learning Classifiers: A Comprehensive SurveyACM Journal on Responsible Computing (JRC), 2022
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaMLAI4CE
435
266
0
14 Jul 2022
Fairness in Recommendation: Foundations, Methods and Applications
Fairness in Recommendation: Foundations, Methods and ApplicationsACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022
Yunqi Li
H. Chen
Shuyuan Xu
Yingqiang Ge
Juntao Tan
Shuchang Liu
Zelong Li
FaMLOffRL
583
95
0
26 May 2022
Counterfactual Multi-Token Fairness in Text Classification
Counterfactual Multi-Token Fairness in Text Classification
P. Lohia
259
3
0
08 Feb 2022
Modeling Techniques for Machine Learning Fairness: A Survey
Modeling Techniques for Machine Learning Fairness: A Survey
Mingyang Wan
Daochen Zha
Ninghao Liu
Na Zou
SyDaFaML
388
39
0
04 Nov 2021
Metrics and methods for a systematic comparison of fairness-aware
  machine learning algorithms
Metrics and methods for a systematic comparison of fairness-aware machine learning algorithms
Gareth Jones
James M. Hickey
Pietro G. Di Stefano
C. Dhanjal
Laura C. Stoddart
V. Vasileiou
FaML
152
24
0
08 Oct 2020
Fairness in Machine Learning: A Survey
Fairness in Machine Learning: A SurveyACM Computing Surveys (ACM CSUR), 2020
Simon Caton
C. Haas
FaML
773
850
0
04 Oct 2020
Fairness by Explicability and Adversarial SHAP Learning
Fairness by Explicability and Adversarial SHAP Learning
James M. Hickey
Pietro G. Di Stefano
V. Vasileiou
FAttFedML
364
26
0
11 Mar 2020
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