Information in Infinite Ensembles of Infinitely-Wide Neural Networks

Ravid Shwartz-Ziv; Alexander A. Alemi

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arXiv · 1911.09189

Information in Infinite Ensembles of Infinitely-Wide Neural Networks

Ravid Shwartz-Ziv·Alexander A. Alemi

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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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cs.LG cs.IT math.IT stat.ML

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Ravid Shwartz-Ziv, Alexander A. Alemi. 2019-11-20. Information in Infinite Ensembles of Infinitely-Wide Neural Networks. https://arxiv.org/abs/1911.09189

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