Fairness via In-Processing in the Over-parameterized Regime: A
Cautionary Tale

Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale

29 June 2022

Sanghamitra Dutta

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Papers citing "Fairness via In-Processing in the Over-parameterized Regime: A Cautionary Tale"

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Title
Disparities in Dermatology AI Performance on a Diverse, Curated Clinical Image Set Roxana Daneshjou Kailas Vodrahalli R. Novoa Melissa Jenkins Weixin Liang ... Rachna Sahasrabudhe Johan A. C. Allerup Utako Okata-Karigane James Zou A. Chiou 109 233 0 15 Mar 2022
The Effect of Model Size on Worst-Group Generalization Alan Pham Eunice Chan V. Srivatsa Dhruba Ghosh Yaoqing Yang Yaodong Yu Ruiqi Zhong Joseph E. Gonzalez Jacob Steinhardt 50 5 0 08 Dec 2021
On the Origin of Implicit Regularization in Stochastic Gradient Descent Samuel L. Smith Benoit Dherin David Barrett Soham De MLT 42 204 0 28 Jan 2021
Minimax Pareto Fairness: A Multi Objective Perspective Natalia Martínez Martín Bertrán Guillermo Sapiro FaML 74 193 0 03 Nov 2020
Implicit Gradient Regularization David Barrett Benoit Dherin 73 151 0 23 Sep 2020
Long-tail learning via logit adjustment A. Menon Sadeep Jayasumana A. S. Rawat Himanshu Jain Andreas Veit Sanjiv Kumar 123 710 0 14 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 121 337 0 23 Jun 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 191 381 0 09 May 2020
Mitigate Bias in Face Recognition using Skewness-Aware Reinforcement Learning Mei Wang Weihong Deng CVBM 96 232 0 25 Nov 2019
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil FaML 197 85 0 12 Jun 2019
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 227 1,101 0 06 Mar 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 78 445 0 23 Feb 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 379 684 0 17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 300 2,114 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 230 4,329 0 07 Oct 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 201 1,992 0 11 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 244 8,408 0 28 Nov 2014