Andrew R. Barron

Rapid Bayesian computation and estimation for neural networks via log-concave coupling

This paper presents the study of a Bayesian estimation procedure for single-hidden-layer neural networks using \ell_{1} controlled neuron weight vectors. We study the structure of the posterior density and provide a representation that makes it amenable to rapid sampling via Markov Chain Monte Carlo (MCMC). Let...