Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning

Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning

30 October 2022

Papers citing "Mitigating Unfairness via Evolutionary Multi-objective Ensemble Learning"

8 / 8 papers shown

Title
Understanding trade-offs in classifier bias with quality-diversity optimization: an application to talent management Catalina M Jaramillo Paul Squires Julian Togelius 78 2 0 25 Nov 2024
Exploring Accuracy-Fairness Trade-off in Large Language Models Qingquan Zhang Qiqi Duan Bo Yuan Yuhui Shi Jiaheng Liu 71 0 0 21 Nov 2024
Best Practices for Responsible Machine Learning in Credit Scoring Giovani Valdrighi Athyrson M. Ribeiro Jansen S. B. Pereira Vitoria Guardieiro Arthur Hendricks ... Juan David Nieto Garcia Felipe F. Bocca Thalita B. Veronese Lucas Wanner Marcos Medeiros Raimundo FaML 37 0 0 30 Sep 2024
Interpreting Multi-objective Evolutionary Algorithms via Sokoban Level Generation Qingquan Zhang Yuchen Li Yuhang Lin Handing Wang Jialin Liu 24 1 0 15 Jun 2024
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects Javier Poyatos Javier Del Ser Salvador Garcia H. Ishibuchi Daniel Molina I. Triguero Bing Xue Xin Yao Francisco Herrera 40 1 0 03 Jun 2024
Evolutionary Multi-Objective Optimisation for Fairness-Aware Self Adjusting Memory Classifiers in Data Streams Pivithuru Thejan Amarasinghe Diem Pham Binh Tran Su Nguyen Yuan Sun D. Alahakoon 24 0 0 18 Apr 2024
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search Chao Wang Licheng Jiao Jiaxuan Zhao Lingling Li Xu Liu F. Liu Shuyuan Yang 29 5 0 06 Feb 2023
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,212 0 23 Aug 2019