Web: http://arxiv.org/abs/2206.07673

June 16, 2022, 1:12 a.m. | Jiri Hron, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein

stat.ML updates on arXiv.org arxiv.org

We introduce repriorisation, a data-dependent reparameterisation which
transforms a Bayesian neural network (BNN) posterior to a distribution whose KL
divergence to the BNN prior vanishes as layer widths grow. The repriorisation
map acts directly on parameters, and its analytic simplicity complements the
known neural network Gaussian process (NNGP) behaviour of wide BNNs in function
space. Exploiting the repriorisation, we develop a Markov chain Monte Carlo
(MCMC) posterior sampling algorithm which mixes faster the wider the BNN. This
contrasts with the …

arxiv bayesian ml networks neural neural networks posterior sampling theory

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