3 papers
stat.ML2026
Statistical learning theory and Occam's razor: Regularization
Tom F. Sterkenburg
The principle of Occam's razor, which instructs us to prefer simplicity in inductive inference, has attracted much scrutiny both in the philosophy of science and in machine learnin…
cs.LG2026
Benign interpolation and Occam's razor
Tom F. Sterkenburg, Daniel A. Herrmann, Jan-Willem Romeijn
Contemporary deep learning methods generalize well even when they fit their training data perfectly, a phenomenon known as benign interpolation. This phenomenon cannot be accounted…
cs.FL2026
Solomonoff induction
Tom F. Sterkenburg
This chapter discusses the Solomonoff approach to universal prediction. The crucial ingredient in the approach is the notion of computability, and I present the main idea as an att…