Generalization Bounds: Perspectives from Information Theory and PAC-Bayes

Fredrik Hellström, Giuseppe Durisi, Benjamin Guedj +1

A fundamental question in theoretical machine learning is generalization. Over the past decades, the PAC-Bayesian approach has been established as a flexible framework to address t…