Post-hoc Bias Scoring Is Optimal For Fair Classification

9 October 2023

Papers citing "Post-hoc Bias Scoring Is Optimal For Fair Classification"

8 / 8 papers shown

Title
Bayes-Optimal Fair Classification with Multiple Sensitive Features Yi Yang Yinghui Huang Xiangyu Chang FaML 57 0 0 01 May 2025
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning L. Zhang Chaochao Chen Zhongxuan Han Qiyong Zhong Xiaolin Zheng FedML 45 0 0 21 Mar 2025
A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems Mohammad-Amin Charusaie Samira Samadi 21 1 0 17 Jul 2024
On the Maximal Local Disparity of Fairness-Aware Classifiers Jinqiu Jin Haoxuan Li Fuli Feng 42 3 0 05 Jun 2024
Fairness Without Harm: An Influence-Guided Active Sampling Approach Jinlong Pang Jialu Wang Zhaowei Zhu Yuanshun Yao Chen Qian Yang Liu TDI 43 2 0 20 Feb 2024
Group-Aware Threshold Adaptation for Fair Classification T. Jang P. Shi Xiaoqian Wang FaML 78 36 0 08 Nov 2021
Fairness guarantee in multi-class classification Christophe Denis Romuald Elie Mohamed Hebiri Franccois Hu FaML 28 47 0 28 Sep 2021
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,079 0 24 Oct 2016