Robust Fairness-aware Learning Under Sample Selection Bias

24 May 2021

Papers citing "Robust Fairness-aware Learning Under Sample Selection Bias"

8 / 8 papers shown

Title
Mitigating Group Bias in Federated Learning for Heterogeneous Devices Khotso Selialia Yasra Chandio Fatima M. Anwar FedML 74 4 0 13 Sep 2023
Robust probabilistic inference via a constrained transport metric Abhisek Chakraborty A. Bhattacharya D. Pati 81 3 0 17 Mar 2023
Consistent Range Approximation for Fair Predictive Modeling Jiongli Zhu Sainyam Galhotra Nazanin Sabri Babak Salimi 74 11 0 21 Dec 2022
Improving Robust Fairness via Balance Adversarial Training Chunyu Sun Chenye Xu Chengyuan Yao Siyuan Liang Yichao Wu Ding Liang XiangLong Liu Aishan Liu 54 11 0 15 Sep 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 105 177 0 14 Jul 2022
A Sandbox Tool to Bias(Stress)-Test Fairness Algorithms Nil-Jana Akpinar Manish Nagireddy Logan Stapleton H. Cheng Haiyi Zhu Steven Wu Hoda Heidari 110 15 0 21 Apr 2022
Minimax Demographic Group Fairness in Federated Learning Afroditi Papadaki Natalia Martínez Martín Bertrán Guillermo Sapiro Miguel R. D. Rodrigues FaML FedML 60 47 0 20 Jan 2022
Sample Selection for Fair and Robust Training Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 77 65 0 27 Oct 2021