most citedVariational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

stat.ML2022★ 2 cited

Variational Inference of overparameterized Bayesian Neural Networks: a theoretical and empirical study

Tom Huix, Szymon Majewski, Alain Durmus +2

This paper studies the Variational Inference (VI) used for training Bayesian Neural Networks (BNN) in the overparameterized regime, i.e., when the number of neurons tends to infini…