Towards Harmless Rawlsian Fairness Regardless of Demographic Prior

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Towards Harmless Rawlsian Fairness Regardless of Demographic Prior

4 November 2024

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Papers citing "Towards Harmless Rawlsian Fairness Regardless of Demographic Prior"

17 / 17 papers shown

Title
Enforcing Fairness Where It Matters: An Approach Based on Difference-of-Convex Constraints Yutian He Yankun Huang Yao Yao Qihang Lin FaML 53 0 0 18 May 2025
Just Train Twice: Improving Group Robustness without Training Group Information Emmy Liu Behzad Haghgoo Annie S. Chen Aditi Raghunathan Pang Wei Koh Shiori Sagawa Percy Liang Chelsea Finn OOD 100 562 0 19 Jul 2021
DORO: Distributional and Outlier Robust Optimization Runtian Zhai Chen Dan J. Zico Kolter Pradeep Ravikumar 53 62 0 11 Jun 2021
Towards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features Tianxiang Zhao Enyan Dai Kai Shu Suhang Wang FaML 50 57 0 29 Apr 2021
Characterizing Fairness Over the Set of Good Models Under Selective Labels Amanda Coston Ashesh Rambachan Alexandra Chouldechova FaML 93 85 0 02 Jan 2021
Minimax Pareto Fairness: A Multi Objective Perspective Natalia Martínez Martín Bertrán Guillermo Sapiro FaML 77 193 0 03 Nov 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 121 338 0 23 Jun 2020
Active Sampling for Min-Max Fairness Jacob D. Abernethy Pranjal Awasthi Matthäus Kleindessner Jamie Morgenstern Chris Russell Jie Zhang FaML 46 50 0 11 Jun 2020
Inherent Tradeoffs in Learning Fair Representations Han Zhao Geoffrey J. Gordon FaML 55 217 0 19 Jun 2019
ProPublica's COMPAS Data Revisited M. Barenstein FaML 44 51 0 11 Jun 2019
Learning Models with Uniform Performance via Distributionally Robust Optimization John C. Duchi Hongseok Namkoong OOD 66 423 0 20 Oct 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 149 1,431 0 24 Mar 2018
Variance-based regularization with convex objectives John C. Duchi Hongseok Namkoong 76 351 0 08 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 233 4,330 0 07 Oct 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 204 1,993 0 11 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 247 8,426 0 28 Nov 2014
Empirical Bernstein Bounds and Sample Variance Penalization Andreas Maurer Massimiliano Pontil 407 545 0 21 Jul 2009

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