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Addressing Fairness in Classification with a Model-Agnostic
  Multi-Objective Algorithm
v1v2v3 (latest)

Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm

Conference on Uncertainty in Artificial Intelligence (UAI), 2020
9 September 2020
Kirtan Padh
Diego Antognini
Emma Lejal Glaude
Boi Faltings
C. Musat
    FaML
ArXiv (abs)PDFHTML

Papers citing "Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm"

16 / 16 papers shown
APFEx: Adaptive Pareto Front Explorer for Intersectional Fairness
APFEx: Adaptive Pareto Front Explorer for Intersectional Fairness
Priyobrata Mondal
Faizanuddin Ansari
Swagatam Das
199
0
0
17 Sep 2025
A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems
A Multi-Objective Evaluation Framework for Analyzing Utility-Fairness Trade-Offs in Machine Learning Systems
Gökhan Özbulak
Oscar Jimenez-del-Toro
Maíra Fatoretto
Lilian Berton
André Anjos
FaML
441
2
0
14 Mar 2025
Enhancing Multi-Attribute Fairness in Healthcare Predictive Modeling
Enhancing Multi-Attribute Fairness in Healthcare Predictive ModelingIEEE International Conference on Healthcare Informatics (ICHI), 2025
Xiaoyang Wang
Christopher C. Yang
205
3
0
22 Jan 2025
Best Practices for Responsible Machine Learning in Credit Scoring
Best Practices for Responsible Machine Learning in Credit Scoring
Giovani Valdrighi
Athyrson M. Ribeiro
Jansen S. B. Pereira
Vitoria Guardieiro
Arthur Hendricks
...
Juan David Nieto Garcia
Felipe F. Bocca
Thalita B. Veronese
Lucas Wanner
Marcos Medeiros Raimundo
FaML
337
7
0
30 Sep 2024
fairret: a Framework for Differentiable Fairness Regularization Terms
fairret: a Framework for Differentiable Fairness Regularization TermsInternational Conference on Learning Representations (ICLR), 2023
Maarten Buyl
Marybeth Defrance
T. D. Bie
FedML
308
8
0
26 Oct 2023
Understanding Fairness Surrogate Functions in Algorithmic Fairness
Understanding Fairness Surrogate Functions in Algorithmic Fairness
Wei Yao
Zhanke Zhou
Zhicong Li
Bo Han
Yong Liu
485
8
0
17 Oct 2023
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation
  Approach
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation ApproachNeural Information Processing Systems (NeurIPS), 2023
Zhimeng Jiang
Xiaotian Han
Hongye Jin
Guanchu Wang
Rui Chen
Na Zou
Helen Zhou
373
19
0
06 Mar 2023
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning
Mitigating Unfairness via Evolutionary Multi-objective Ensemble LearningIEEE Transactions on Evolutionary Computation (TEVC), 2022
Qingquan Zhang
Jialin Liu
Zeqi Zhang
J. Wen
Bifei Mao
Xin Yao
FaML
311
26
0
30 Oct 2022
Generalization In Multi-Objective Machine Learning
Generalization In Multi-Objective Machine Learning
Peter Súkeník
Christoph H. Lampert
AI4CE
244
9
0
29 Aug 2022
Towards Fairness-Aware Multi-Objective Optimization
Towards Fairness-Aware Multi-Objective Optimization
Guo-Ding Yu
Lianbo Ma
W. Du
WenLi Du
Yaochu Jin
FaML
224
20
0
22 Jul 2022
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
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy
Beyond Impossibility: Balancing Sufficiency, Separation and Accuracy
Limor Gultchin
Vincent Cohen-Addad
Sophie Giffard-Roisin
Varun Kanade
Frederik Mallmann-Trenn
197
4
0
24 May 2022
FairNorm: Fair and Fast Graph Neural Network Training
FairNorm: Fair and Fast Graph Neural Network Training
Öykü Deniz Köse
Yanning Shen
AI4CE
161
5
0
20 May 2022
Fair Enough: Searching for Sufficient Measures of Fairness
Fair Enough: Searching for Sufficient Measures of FairnessACM Transactions on Software Engineering and Methodology (TOSEM), 2021
Suvodeep Majumder
Joymallya Chakraborty
Gina R. Bai
Kathryn T. Stolee
Tim Menzies
236
39
0
25 Oct 2021
Self-Evolutionary Optimization for Pareto Front Learning
Self-Evolutionary Optimization for Pareto Front Learning
Simyung Chang
Kiyoon Yoo
Jiho Jang
Nojun Kwak
251
5
0
07 Oct 2021
Scalable Pareto Front Approximation for Deep Multi-Objective Learning
Scalable Pareto Front Approximation for Deep Multi-Objective LearningIndustrial Conference on Data Mining (IDM), 2021
Michael Ruchte
Josif Grabocka
278
71
0
24 Mar 2021
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