Penalizing Unfairness in Binary Classification

30 June 2017

Papers citing "Penalizing Unfairness in Binary Classification"

19 / 19 papers shown

Title
MAFT: Efficient Model-Agnostic Fairness Testing for Deep Neural Networks via Zero-Order Gradient Search Zhaohui Wang Min Zhang Jingran Yang Bojie Shao Min Zhang 61 4 0 31 Dec 2024
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 45 22 0 23 Nov 2022
Simultaneous Improvement of ML Model Fairness and Performance by Identifying Bias in Data B. Chaudhari Akash Agarwal Tanmoy Bhowmik 33 2 0 24 Oct 2022
Survey on Fairness Notions and Related Tensions Guilherme Alves Fabien Bernier Miguel Couceiro K. Makhlouf C. Palamidessi Sami Zhioua FaML 46 25 0 16 Sep 2022
Fair mapping Sébastien Gambs Rosin Claude Ngueveu 42 0 0 01 Sep 2022
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias Bhavya Ghai Klaus Mueller 33 40 0 10 Aug 2022
Fair Classification via Domain Adaptation: A Dual Adversarial Learning Approach Yueqing Liang Canyu Chen Tian Tian Kai Shu FaML 24 9 0 08 Jun 2022
SLIDE: a surrogate fairness constraint to ensure fairness consistency Kunwoong Kim Ilsang Ohn Sara Kim Yongdai Kim 35 4 0 07 Feb 2022
Fairness-Driven Private Collaborative Machine Learning Dana Pessach Tamir Tassa E. Shmueli FedML 33 7 0 29 Sep 2021
Quadratic Metric Elicitation for Fairness and Beyond Gaurush Hiranandani Jatin Mathur Harikrishna Narasimhan Oluwasanmi Koyejo 27 5 0 03 Nov 2020
Fair Performance Metric Elicitation Gaurush Hiranandani Harikrishna Narasimhan Oluwasanmi Koyejo 32 18 0 23 Jun 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 33 387 0 21 Jan 2020
Fair Classification and Social Welfare Lily Hu Yiling Chen FaML 32 88 0 01 May 2019
Active Fairness in Algorithmic Decision Making Alejandro Noriega-Campero Michiel A. Bakker Bernardo Garcia-Bulle Alex Pentland FaML 27 85 0 28 Sep 2018
Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction C. Wadsworth Francesca Vera Chris Piech FaML 33 180 0 30 Jun 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 38 440 0 23 Feb 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 236 676 0 17 Feb 2018
Does mitigating ML's impact disparity require treatment disparity? Zachary Chase Lipton Alexandra Chouldechova Julian McAuley 37 16 0 19 Nov 2017
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016