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cs.LG2026
A Practical Upper Bound on Selection Bias Effects in Medical Prediction Models
Kara Liu, Maggie Wang, Russ B. Altman
Selection bias is a common and often unavoidable aspect of real-world data that challenges the generalizability of machine learning models. When models trained on biased data are d…
cs.LG2024
Individual Fairness Through Reweighting and Tuning
Abdoul Jalil Djiberou Mahamadou, Lea Goetz, Russ Altman
Inherent bias within society can be amplified and perpetuated by artificial intelligence (AI) systems. To address this issue, a wide range of solutions have been proposed to identi…