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Author

Curtis McDonald

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Open access Nov 2024

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...

Curtis McDonald, Andrew R. Barron · 1 citation

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