Fairness Through Computationally-Bounded Awareness

Fairness Through Computationally-Bounded Awareness

8 March 2018

Papers citing "Fairness Through Computationally-Bounded Awareness"

13 / 13 papers shown

Title
A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics Kai He Rui Mao Qika Lin Yucheng Ruan Xiang Lan Mengling Feng Min Zhang LM&MA AILaw 156 166 0 28 Jan 2025
Diversity-aware clustering: Computational Complexity and Approximation Algorithms Suhas Thejaswi Ameet Gadekar Bruno Ordozgoiti Aristides Gionis 45 2 0 10 Jan 2024
Multiaccuracy: Black-Box Post-Processing for Fairness in Classification Michael P. Kim Amirata Ghorbani James Zou MLAU 188 337 0 31 May 2018
Probably Approximately Metric-Fair Learning G. Rothblum G. Yona FaML FedML 45 85 0 08 Mar 2018
Online Learning with an Unknown Fairness Metric Stephen Gillen Christopher Jung Michael Kearns Aaron Roth FaML 54 143 0 20 Feb 2018
Calibration for the (Computationally-Identifiable) Masses Úrsula Hébert-Johnson Michael P. Kim Omer Reingold G. Rothblum FaML 48 87 0 22 Nov 2017
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 109 775 0 14 Nov 2017
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 130 874 0 06 Sep 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 285 2,098 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 124 4,276 0 07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 84 1,762 0 19 Sep 2016
Agnostic Learning of Monomials by Halfspaces is Hard Vitaly Feldman V. Guruswami P. Raghavendra Yi Wu 73 156 0 03 Dec 2010
Distribution-Specific Agnostic Boosting Vitaly Feldman FedML 59 47 0 16 Sep 2009