v1v2v3 (latest)

Penalizing Unfairness in Binary Classification

30 June 2017

Papers citing "Penalizing Unfairness in Binary Classification"

26 / 26 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 80 5 0 31 Dec 2024
Learning Fair Classifiers via Min-Max F-divergence Regularization Meiyu Zhong Ravi Tandon FaML 43 4 0 28 Jun 2023
Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations Madeleine Waller Odinaldo Rodrigues O. Cocarascu FaML AI4CE 64 2 0 31 May 2023
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation Josh Gardner Zoran Popovic Ludwig Schmidt OOD 103 23 0 23 Nov 2022
Survey on Fairness Notions and Related Tensions Guilherme Alves Fabien Bernier Miguel Couceiro K. Makhlouf C. Palamidessi Sami Zhioua FaML 96 26 0 16 Sep 2022
Fair mapping Sébastien Gambs Rosin Claude Ngueveu 77 0 0 01 Sep 2022
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias Bhavya Ghai Klaus Mueller 82 41 0 10 Aug 2022
SLIDE: a surrogate fairness constraint to ensure fairness consistency Kunwoong Kim Ilsang Ohn Sara Kim Yongdai Kim 61 5 0 07 Feb 2022
Fairness-Driven Private Collaborative Machine Learning Dana Pessach Tamir Tassa E. Shmueli FedML 50 7 0 29 Sep 2021
Removing biased data to improve fairness and accuracy Sahil Verma Michael Ernst René Just FaML 123 25 0 05 Feb 2021
Quadratic Metric Elicitation for Fairness and Beyond Gaurush Hiranandani Jatin Mathur Harikrishna Narasimhan Oluwasanmi Koyejo 93 5 0 03 Nov 2020
Probabilistic Machine Learning for Healthcare Irene Y. Chen Shalmali Joshi Marzyeh Ghassemi Rajesh Ranganath OOD 74 56 0 23 Sep 2020
Fair Performance Metric Elicitation Gaurush Hiranandani Harikrishna Narasimhan Oluwasanmi Koyejo 71 18 0 23 Jun 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 102 395 0 21 Jan 2020
Representation Learning with Statistical Independence to Mitigate Bias Ehsan Adeli Qingyu Zhao A. Pfefferbaum E. Sullivan Li Fei-Fei Juan Carlos Niebles K. Pohl CML FaML OOD 66 17 0 08 Oct 2019
Fair Classification and Social Welfare Lily Hu Yiling Chen FaML 90 92 0 01 May 2019
Active Fairness in Algorithmic Decision Making Alejandro Noriega-Campero Michiel A. Bakker Bernardo Garcia-Bulle Alex Pentland FaML 82 85 0 28 Sep 2018
Welfare and Distributional Impacts of Fair Classification Lily Hu Yiling Chen FaML 64 24 0 03 Jul 2018
Gradient Reversal Against Discrimination Edward Raff Jared Sylvester 73 38 0 01 Jul 2018
Achieving Fairness through Adversarial Learning: an Application to Recidivism Prediction C. Wadsworth Francesca Vera Chris Piech FaML 99 180 0 30 Jun 2018
Why Is My Classifier Discriminatory? Irene Y. Chen Fredrik D. Johansson David Sontag FaML 88 399 0 30 May 2018
Empirical Risk Minimization under Fairness Constraints Michele Donini L. Oneto Shai Ben-David John Shawe-Taylor Massimiliano Pontil FaML 86 445 0 23 Feb 2018
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 388 685 0 17 Feb 2018
Fair Forests: Regularized Tree Induction to Minimize Model Bias Edward Raff Jared Sylvester S. Mills FaML 70 72 0 21 Dec 2017
Does mitigating ML's impact disparity require treatment disparity? Zachary Chase Lipton Alexandra Chouldechova Julian McAuley 77 16 0 19 Nov 2017
Predict Responsibly: Improving Fairness and Accuracy by Learning to Defer David Madras T. Pitassi R. Zemel FaML 201 221 0 17 Nov 2017