2604.01094 Minimax Regret Model Selection: When the Best Model for Any Task Is Never the Best Model for Every Task
Model selection in machine learning implicitly assumes the practitioner knows which task the deployed system will face. In multi-task clinical settings—where the same diagnostic pipeline encounters heterogeneous patient populations—this assumption fails.