Fair and Optimal Classification via Post-Processing

3 November 2022

Papers citing "Fair and Optimal Classification via Post-Processing"

25 / 25 papers shown

Title
Bayes-Optimal Fair Classification with Multiple Sensitive Features Yi Yang Yinghui Huang Xiangyu Chang FaML 62 0 0 01 May 2025
The Cost of Local and Global Fairness in Federated Learning Yuying Duan Gelei Xu Yiyu Shi Michael Lemmon FedML 39 0 0 27 Mar 2025
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning L. Zhang Chaochao Chen Zhongxuan Han Qiyong Zhong Xiaolin Zheng FedML 52 0 0 21 Mar 2025
Debiasify: Self-Distillation for Unsupervised Bias Mitigation Nourhan Bayasi Jamil Fayyad Ghassan Hamarneh Rafeef Garbi H. Najjaran 35 0 0 01 Nov 2024
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 23 0 0 02 Oct 2024
AdapFair: Ensuring Continuous Fairness for Machine Learning Operations Yinghui Huang Zihao Tang Xiangyu Chang FaML 15 0 0 23 Sep 2024
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch Xiaoyuan Zhang Liang Zhao Yingying Yu Xi Lin Yifan Chen Han Zhao Qingfu Zhang AI4CE 36 3 0 04 Sep 2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou Tianci Liu Ruqi Bai Jing Gao Murat Kocaoglu David I. Inouye 36 2 0 03 Sep 2024
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 47 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
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
Differentially Private Post-Processing for Fair Regression Ruicheng Xian Qiaobo Li Gautam Kamath Han Zhao 23 2 0 07 May 2024
Representation Surgery: Theory and Practice of Affine Steering Shashwat Singh Shauli Ravfogel Jonathan Herzig Roee Aharoni Ryan Cotterell Ponnurangam Kumaraguru LLMSV 27 12 0 15 Feb 2024
UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition Xiao-Yan Zhang Xi Lin Yichi Zhang Yifan Chen Qingfu Zhang 22 1 0 14 Feb 2024
FRAPPE: A Group Fairness Framework for Post-Processing Everything Alexandru Tifrea Preethi Lahoti Ben Packer Yoni Halpern Ahmad Beirami Flavien Prost 47 6 0 05 Dec 2023
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes Jinwon Sohn Qifan Song Guang Lin FaML 19 1 0 10 Nov 2023
Constrained Reweighting of Distributions: an Optimal Transport Approach Abhisek Chakraborty A. Bhattacharya D. Pati 8 1 0 19 Oct 2023
An Empirical Study of Self-supervised Learning with Wasserstein Distance Makoto Yamada Yuki Takezawa Guillaume Houry Kira Michaela Dusterwald Deborah Sulem Han Zhao Yao-Hung Hubert Tsai 19 1 0 16 Oct 2023
Post-hoc Bias Scoring Is Optimal For Fair Classification Wenlong Chen Yegor Klochkov Yang Liu FaML 27 6 0 09 Oct 2023
Revisiting Scalarization in Multi-Task Learning: A Theoretical Perspective Yuzheng Hu Ruicheng Xian Qilong Wu Qiuling Fan Lang Yin Han Zhao 27 39 0 27 Aug 2023
FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods Xiaotian Han Jianfeng Chi Yu Chen Qifan Wang Han Zhao Na Zou Xia Hu 39 25 0 15 Jun 2023
Metrizing Fairness Yves Rychener Bahar Taşkesen Daniel Kuhn FaML 23 4 0 30 May 2022
Fairness guarantee in multi-class classification Christophe Denis Romuald Elie Mohamed Hebiri Franccois Hu FaML 28 47 0 28 Sep 2021
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 213 669 0 17 Feb 2018
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 185 2,082 0 24 Oct 2016