Achieving Equalized Odds by Resampling Sensitive Attributes

Achieving Equalized Odds by Resampling Sensitive Attributes

8 June 2020

Emmanuel J. Candès

Papers citing "Achieving Equalized Odds by Resampling Sensitive Attributes"

12 / 12 papers shown

Title
Alpha and Prejudice: Improving $α$ -sized Worst-case Fairness via Intrinsic Reweighting Jing Li Yinghua Yao Yuangang Pan Xuanqian Wang Ivor Tsang Xiuju Fu FaML 57 0 0 05 Nov 2024
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes Jinwon Sohn Qifan Song Guang Lin FaML 42 1 0 10 Nov 2023
Learning Optimal Fair Scoring Systems for Multi-Class Classification Julien Rouzot Julien Ferry Marie-José Huguet FaML 24 8 0 11 Apr 2023
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations Ainhize Barrainkua Paula Gordaliza Jose A. Lozano Novi Quadrianto 26 1 0 02 Feb 2023
Learning to Increase the Power of Conditional Randomization Tests Shalev Shaer Yaniv Romano CML 40 2 0 03 Jul 2022
Bounding and Approximating Intersectional Fairness through Marginal Fairness M. Molina P. Loiseau 34 8 0 12 Jun 2022
Learning to Detect with Constant False Alarm Rate Tzvi Diskin Uri Okun A. Wiesel 24 8 0 12 Jun 2022
Attainability and Optimality: The Equalized Odds Fairness Revisited Zeyu Tang Kun Zhang FaML 21 11 0 24 Feb 2022
Blackbox Post-Processing for Multiclass Fairness Preston J. Putzel Scott Lee FaML 27 18 0 12 Jan 2022
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 256 492 0 31 Dec 2020
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,092 0 24 Oct 2016
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 83 392 0 20 Oct 2016