Two-stage Algorithm for Fairness-aware Machine Learning

13 October 2017

Papers citing "Two-stage Algorithm for Fairness-aware Machine Learning"

10 / 10 papers shown

Title
Bias Testing and Mitigation in LLM-based Code Generation Dong Huang Qingwen Bu Jie M. Zhang Xiaofei Xie Junjie Chen Heming Cui 125 27 0 03 Sep 2023
Mean Parity Fair Regression in RKHS Shaokui Wei Jiayin Liu Bing Li H. Zha 56 3 0 21 Feb 2023
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 113 177 0 14 Jul 2022
Selective Regression Under Fairness Criteria Abhin Shah Yuheng Bu Joshua K. Lee Subhro Das Yikang Shen P. Sattigeri G. Wornell 118 28 0 28 Oct 2021
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 324 500 0 31 Dec 2020
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing Sanghamitra Dutta Dennis L. Wei Hazar Yueksel Pin-Yu Chen Sijia Liu Kush R. Varshney FaML 67 11 0 17 Oct 2019
Tackling Algorithmic Bias in Neural-Network Classifiers using Wasserstein-2 Regularization Laurent Risser Alberto González Sanz Quentin Vincenot Jean-Michel Loubes 97 21 0 15 Aug 2019
Learning Fair Representations for Kernel Models Zilong Tan Samuel Yeom Matt Fredrikson Ameet Talwalkar FaML 119 25 0 27 Jun 2019
General Fair Empirical Risk Minimization L. Oneto Michele Donini Massimiliano Pontil FaML 110 40 0 29 Jan 2019
Fairness risk measures Robert C. Williamson A. Menon FaML 167 142 0 24 Jan 2019