From Soft Classifiers to Hard Decisions: How fair can we be?

3 October 2018

Papers citing "From Soft Classifiers to Hard Decisions: How fair can we be?"

9 / 9 papers shown

Title
Fairness Under Composition Cynthia Dwork Christina Ilvento FaML 74 125 0 15 Jun 2018
Paradoxes in Fair Computer-Aided Decision Making Andrew Morgan R. Pass FaML 40 9 0 29 Nov 2017
Calibration for the (Computationally-Identifiable) Masses Úrsula Hébert-Johnson Michael P. Kim Omer Reingold G. Rothblum FaML 40 87 0 22 Nov 2017
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness Michael Kearns Seth Neel Aaron Roth Zhiwei Steven Wu FaML 98 775 0 14 Nov 2017
On Fairness and Calibration Geoff Pleiss Manish Raghavan Felix Wu Jon M. Kleinberg Kilian Q. Weinberger FaML 102 874 0 06 Sep 2017
Fair Pipelines Amanda Bower Sarah Kitchen Laura Niss Martin Strauss Alexander Vargas Suresh Venkatasubramanian FaML 27 44 0 03 Jul 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 280 2,098 0 24 Oct 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 89 4,276 0 07 Oct 2016
Inherent Trade-Offs in the Fair Determination of Risk Scores Jon M. Kleinberg S. Mullainathan Manish Raghavan FaML 75 1,762 0 19 Sep 2016