arxivstat.MLcs.LG2026-07-07
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 critica…