Learning to Choose Under a Fixed Budget: Bandits, Adaptivity, and Large Deviations

High-Impact Clustering Feature Selection via Unsupervised Learning and Multinomial Logistic Regression

Support-Conditioned Risk Profiles for Learning under Nonuniform Design