Robust Mixture Models for Algorithmic Fairness Under Latent Heterogeneity

Siqi Li, Molei Liu, Ziye Tian +2

Standard machine learning models optimized for average performance often fail on minority subgroups and lack robustness to distribution shifts. This challenge worsens when subgroup…