Bayes-Optimal Classifiers under Group Fairness

20 February 2022

Papers citing "Bayes-Optimal Classifiers under Group Fairness"

20 / 20 papers shown

Title
FaiREE: Fair Classification with Finite-Sample and Distribution-Free Guarantee Puheng Li James Y. Zou Linjun Zhang FaML 82 4 0 13 Mar 2025
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 49 0 0 31 Aug 2024
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 Power of Randomization in Fair Classification and Representation Sushant Agarwal Amit Deshpande FaML 45 5 0 05 Jun 2024
Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing Yuying Duan Yijun Tian Nitesh V. Chawla Michael Lemmon FedML 21 2 0 28 May 2024
Intrinsic Fairness-Accuracy Tradeoffs under Equalized Odds Meiyu Zhong Ravi Tandon FaML 35 3 0 12 May 2024
Distribution-Free Fair Federated Learning with Small Samples Qichuan Yin Junzhou Huang Huaxiu Yao Linjun Zhang FedML 49 0 0 25 Feb 2024
Distribution-Free Rates in Neyman-Pearson Classification Mohammadreza M. Kalan Samory Kpotufe 22 0 0 14 Feb 2024
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative Models Namjoon Suh Guang Cheng MedIm 22 12 0 14 Jan 2024
How Far Can Fairness Constraints Help Recover From Biased Data? Mohit Sharma Amit Deshpande FaML 14 1 0 16 Dec 2023
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes Jinwon Sohn Qifan Song Guang Lin FaML 34 1 0 10 Nov 2023
Post-hoc Bias Scoring Is Optimal For Fair Classification Wenlong Chen Yegor Klochkov Yang Liu FaML 27 6 0 09 Oct 2023
Mitigating Source Bias for Fairer Weak Supervision Changho Shin Sonia Cromp Dyah Adila Frederic Sala 24 2 0 30 Mar 2023
On Comparing Fair Classifiers under Data Bias Mohit Sharma Amit Deshpande R. Shah 27 2 0 12 Feb 2023
Aleatoric and Epistemic Discrimination: Fundamental Limits of Fairness Interventions Hao Wang Luxi He Rui Gao Flavio du Pin Calmon 14 9 0 27 Jan 2023
Fair and Optimal Classification via Post-Processing Ruicheng Xian Lang Yin Han Zhao FaML 16 30 0 03 Nov 2022
Fair learning with Wasserstein barycenters for non-decomposable performance measures Solenne Gaucher Nicolas Schreuder Evgenii Chzhen 19 14 0 01 Sep 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey Max Hort Zhenpeng Chen Jie M. Zhang Mark Harman Federica Sarro FaML AI4CE 31 159 0 14 Jul 2022
Fair Bayes-Optimal Classifiers Under Predictive Parity Xianli Zeng Edgar Dobriban Guang Cheng FaML 14 14 0 15 May 2022
A statistical framework for fair predictive algorithms K. Lum J. Johndrow FaML 174 104 0 25 Oct 2016