Training Well-Generalizing Classifiers for Fairness Metrics and Other
Data-Dependent Constraints

Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints

29 June 2018

Karthik Sridharan

Blake E. Woodworth

Papers citing "Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints"

11 / 11 papers shown

Title
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 129 1 0 13 Mar 2024
Two-Player Games for Efficient Non-Convex Constrained Optimization Andrew Cotter Heinrich Jiang Karthik Sridharan 45 118 0 17 Apr 2018
A Reductions Approach to Fair Classification Alekh Agarwal A. Beygelzimer Miroslav Dudík John Langford Hanna M. Wallach FaML 133 1,094 0 06 Mar 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 71 443 0 23 Feb 2018
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
Robust Optimization for Non-Convex Objectives Robert S. Chen Brendan Lucier Yaron Singer Vasilis Syrgkanis 47 120 0 04 Jul 2017
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 124 4,276 0 07 Oct 2016
Satisfying Real-world Goals with Dataset Constraints Gabriel Goh Andrew Cotter Maya R. Gupta M. Friedlander OffRL 46 215 0 24 Jun 2016
Monotonic Calibrated Interpolated Look-Up Tables Maya R. Gupta Andrew Cotter Jan Pfeifer Konstantin Voevodski K. Canini Alexander Mangylov Wojtek Moczydlowski A. V. Esbroeck 53 128 0 23 May 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 844 149,474 0 22 Dec 2014
Optimization, Learning, and Games with Predictable Sequences Alexander Rakhlin Karthik Sridharan 57 377 0 08 Nov 2013