Within-group fairness: A guidance for more sound between-group fairness

Within-group fairness: A guidance for more sound between-group fairness

20 January 2023

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Papers citing "Within-group fairness: A guidance for more sound between-group fairness"

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Title
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 140 339 0 23 Jun 2020
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints Robin Vogel A. Bellet Stephan Clémençon FaML 70 12 0 19 Feb 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 81 396 0 21 Jan 2020
Group-based Fair Learning Leads to Counter-intuitive Predictions Ofir Nachum Heinrich Jiang FaML 34 2 0 04 Oct 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 585 4,394 0 23 Aug 2019
Wasserstein Fair Classification Ray Jiang Aldo Pacchiano T. Stepleton Heinrich Jiang Silvia Chiappa 69 181 0 28 Jul 2019
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification Evgenii Chzhen Christophe Denis Mohamed Hebiri L. Oneto Massimiliano Pontil FaML 215 87 0 12 Jun 2019
Flexibly Fair Representation Learning by Disentanglement Elliot Creager David Madras J. Jacobsen Marissa A. Weis Kevin Swersky T. Pitassi R. Zemel FaML OOD 196 334 0 06 Jun 2019
FNNC: Achieving Fairness through Neural Networks P. Manisha Sujit Gujar 81 74 0 01 Nov 2018
Fairness-aware Classification: Criterion, Convexity, and Bounds Yongkai Wu Lu Zhang Xintao Wu FaML 57 27 0 13 Sep 2018
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices Till Speicher Hoda Heidari Nina Grgic-Hlaca Krishna P. Gummadi Adish Singla Adrian Weller Muhammad Bilal Zafar FaML 76 265 0 02 Jul 2018
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees L. E. Celis Lingxiao Huang Vijay Keswani Nisheeth K. Vishnoi FaML 230 309 0 15 Jun 2018
FairGAN: Fairness-aware Generative Adversarial Networks Depeng Xu Shuhan Yuan Lu Zhang Xintao Wu GAN 131 315 0 28 May 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 82 445 0 23 Feb 2018
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 236 4,341 0 07 Oct 2016
Satisfying Real-world Goals with Dataset Constraints Gabriel Goh Andrew Cotter Maya R. Gupta M. Friedlander OffRL 72 215 0 24 Jun 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 215 1,996 0 11 Dec 2014