Robust Mixture Models for Algorithmic Fairness Under Latent Heterogeneity
arXiv:2509.17411v2 Announce Type: replace Abstract: Machine learning models optimized for average performance can perform poorly on vulnerable subpopulations. Existing approaches often rely on groups specified in advance, yet fairness-relevant subgroup structure may be latent, intersectional, and d…
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- 2026-09-21 04:00 · arXiv stat.ML
Robust Mixture Models for Algorithmic Fairness Under Latent Heterogeneity