Addressing Fairness in Classification with a Model-Agnostic
Multi-Objective Algorithm

Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm

9 September 2020

Diego Antognini

Emma Lejal Glaude

Boi Faltings

Papers citing "Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm"

5 / 5 papers shown

Title
Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach Zhimeng Jiang Xiaotian Han Hongye Jin Guanchu Wang Rui Chen Na Zou Xia Hu 12 13 0 06 Mar 2023
Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning Qingquan Zhang Jialin Liu Zeqi Zhang J. Wen Bifei Mao Xin Yao FaML 40 17 0 30 Oct 2022
FairNorm: Fair and Fast Graph Neural Network Training Öykü Deniz Köse Yanning Shen AI4CE 11 4 0 20 May 2022
Fair Enough: Searching for Sufficient Measures of Fairness Suvodeep Majumder Joymallya Chakraborty Gina R. Bai Kathryn T. Stolee Tim Menzies 11 26 0 25 Oct 2021
Scalable Pareto Front Approximation for Deep Multi-Objective Learning Michael Ruchte Josif Grabocka 16 58 0 24 Mar 2021