Fairness-Aware Class Imbalanced Learning on Multiple Subgroups.
Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Long Qi, Li Shen · PubMed · 2023
predictor and local predictors. Theoretical analysis demonstrates the framework's ability to enhance classification and fairness generalization, potentially resulting in improvements in the generalization bound. Empirical results validate the superior performance of our tri-level framework compared to existing state-of-the-art approaches. The source code can be found at https://github.com/PennShenLab/FACIMS.