Robust Fairness-aware Learning Under Sample Selection Bias

Robust Fairness-aware Learning Under Sample Selection Bias

24 May 2021

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

17 / 17 papers shown

Title
Robust Fairness under Covariate Shift Ashkan Rezaei Anqi Liu Omid Memarrast Brian Ziebart TTA OOD 75 84 0 11 Oct 2020
Fairness-aware Agnostic Federated Learning Wei Du Depeng Xu Xintao Wu Hanghang Tong FedML 44 130 0 10 Oct 2020
A Distributionally Robust Approach to Fair Classification Bahar Taşkesen Viet Anh Nguyen Daniel Kuhn Jose H. Blanchet FaML 44 62 0 18 Jul 2020
Fairness without Demographics through Adversarially Reweighted Learning Preethi Lahoti Alex Beutel Jilin Chen Kang Lee Flavien Prost Nithum Thain Xuezhi Wang Ed H. Chi FaML 102 334 0 23 Jun 2020
Recovering from Biased Data: Can Fairness Constraints Improve Accuracy? Avrim Blum Kevin Stangl FaML 25 87 0 02 Dec 2019
Training individually fair ML models with Sensitive Subspace Robustness Mikhail Yurochkin Amanda Bower Yuekai Sun FaML OOD 49 120 0 28 Jun 2019
Statistical Learning from Biased Training Samples Stephan Clémençon Pierre Laforgue 86 9 0 28 Jun 2019
Transfer of Machine Learning Fairness across Domains Candice Schumann Xuezhi Wang Alex Beutel Jilin Chen Hai Qian Ed H. Chi 53 69 0 24 Jun 2019
Inherent Tradeoffs in Learning Fair Representations Han Zhao Geoffrey J. Gordon FaML 42 215 0 19 Jun 2019
Identifying and Correcting Label Bias in Machine Learning Heinrich Jiang Ofir Nachum FaML 67 281 0 15 Jan 2019
Learning Controllable Fair Representations Jiaming Song Pratyusha Kalluri Aditya Grover Shengjia Zhao Stefano Ermon FaML 35 178 0 11 Dec 2018
Residual Unfairness in Fair Machine Learning from Prejudiced Data Nathan Kallus Angela Zhou FaML 120 136 0 07 Jun 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 325 678 0 17 Feb 2018
Does Distributionally Robust Supervised Learning Give Robust Classifiers? Weihua Hu Gang Niu Issei Sato Masashi Sugiyama OOD 47 60 0 07 Nov 2016
Robust Wasserstein Profile Inference and Applications to Machine Learning Jose H. Blanchet Yang Kang Karthyek Murthy OOD 57 331 0 18 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 124 4,276 0 07 Oct 2016
Sample Selection Bias Correction Theory Corinna Cortes M. Mohri Michael Riley Afshin Rostamizadeh 93 346 0 19 May 2008