SimFair: A Unified Framework for Fairness-Aware Multi-Label
Classification

SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification

19 February 2023

Tianci Liu

Jing Gao

Papers citing "SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification"

6 / 6 papers shown

Title
Counterfactual Fairness by Combining Factual and Counterfactual Predictions Zeyu Zhou Tianci Liu Ruqi Bai Jing Gao Murat Kocaoglu David I. Inouye 49 2 0 03 Sep 2024
Multi-Output Distributional Fairness via Post-Processing Gang Li Qihang Lin Ayush Ghosh Tianbao Yang 49 0 0 31 Aug 2024
Distribution-Free Fair Federated Learning with Small Samples Qichuan Yin Junzhou Huang Huaxiu Yao Linjun Zhang FedML 49 0 0 25 Feb 2024
Towards Poisoning Fair Representations Tianci Liu Haoyu Wang Feijie Wu Hengtong Zhang Pan Li Lu Su Jing Gao AAML 25 2 0 28 Sep 2023
Fairness in Machine Learning L. Oneto Silvia Chiappa FaML 243 488 0 31 Dec 2020
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 673 0 17 Feb 2018