Author

Kaarel Hanni

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Preprint Jul 2026

Width-Robust Learnability in Mean-Field Bayesian Neural Networks

Infinite-width limits are a standard way to reason about neural networks, but it is not automatic that the limiting learner has the same complexity-theoretic inductive bias as large finite networks. We study this question for Bayesian neural networks at the mean-field, or critical feature-learning, scaling. The central...

Dmitry Vaintrob, Kaarel Hanni · 0 citations