Auditing and Achieving Intersectional Fairness in Classification
Problems

Auditing and Achieving Intersectional Fairness in Classification Problems

4 November 2019

Papers citing "Auditing and Achieving Intersectional Fairness in Classification Problems"

17 / 17 papers shown

Title
Flexibly Fair Representation Learning by Disentanglement Elliot Creager David Madras J. Jacobsen Marissa A. Weis Kevin Swersky T. Pitassi R. Zemel FaML OOD 164 333 0 06 Jun 2019
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning Ángel Alexander Cabrera Will Epperson Fred Hohman Minsuk Kahng Jamie Morgenstern Duen Horng Chau FaML 77 186 0 10 Apr 2019
Differentially Private Fair Learning Matthew Jagielski Michael Kearns Jieming Mao Alina Oprea Aaron Roth Saeed Sharifi-Malvajerdi Jonathan R. Ullman FaML FedML 98 151 0 06 Dec 2018
An Empirical Study of Rich Subgroup Fairness for Machine Learning Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 95 206 0 24 Aug 2018
An Intersectional Definition of Fairness James R. Foulds Rashidul Islam Kamrun Naher Keya Shimei Pan FaML 58 187 0 22 Jul 2018
Classification with Fairness Constraints: A Meta-Algorithm with Provable Guarantees L. E. Celis Lingxiao Huang Vijay Keswani Nisheeth K. Vishnoi FaML 178 308 0 15 Jun 2018
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification Michael P. Kim Amirata Ghorbani James Zou MLAU 216 338 0 31 May 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 196 1,099 0 06 Mar 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 354 681 0 17 Feb 2018
Mitigating Unwanted Biases with Adversarial Learning B. Zhang Blake Lemoine Margaret Mitchell FaML 156 1,380 0 22 Jan 2018
Fair Forests: Regularized Tree Induction to Minimize Model Bias Edward Raff Jared Sylvester S. Mills FaML 39 69 0 21 Dec 2017
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 160 776 0 14 Nov 2017
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 164 876 0 06 Sep 2017
Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints Jieyu Zhao Tianlu Wang Mark Yatskar Vicente Ordonez Kai-Wei Chang FaML 88 968 0 29 Jul 2017
Identifying Unknown Unknowns in the Open World: Representations and Policies for Guided Exploration Himabindu Lakkaraju Ece Kamar R. Caruana Eric Horvitz 45 152 0 28 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 192 4,301 0 07 Oct 2016
Certifying and removing disparate impact Michael Feldman Sorelle A. Friedler John Moeller C. Scheidegger Suresh Venkatasubramanian FaML 169 1,984 0 11 Dec 2014