Information in Infinite Ensembles of Infinitely-Wide Neural Networks

Ravid Shwartz-Ziv, Alexander A. Alemi

Keywords: information theory, NTK, ensemble, generalization

TL;DR: Infinite ensembles of infinitely wide neural networks are an interesting model family from an information theoretic perspective.

Abstract: In this preliminary work, we study the generalization properties of infinite ensembles of infinitely-wide neural networks. Amazingly, this model family admits tractable calculations for many information-theoretic quantities. We report analytical and empirical investigations in the search for signals that correlate with generalization.

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