2022
Generalization Bounds with Minimal Dependency on Hypothesis Class via Distributionally Robust Optimization
NeurIPS 2022accept
Established approaches to obtain generalization bounds in data-driven optimization and machine learning mostly build on solutions from empirical risk minimization (ERM), which depend crucially on the functional complexity of the hypothesis class. In this paper, we present an alternate route to obtai…