EFFICIENT MONTE CARLO FOR NEURAL NETWORKS WITH LANGEVIN SAMPLERS L.A. BREYER, M. PICCIONI, AND S. SCARLATTI Abstract. We consider the task of simulating efficiently from the posterior distribution over weight space of a - Scarlatti - Document - PDFSEARCH.IO

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	EFFICIENT MONTE CARLO FOR NEURAL NETWORKS WITH LANGEVIN SAMPLERS L.A. BREYER, M. PICCIONI, AND S. SCARLATTI Abstract. We consider the task of simulating efficiently from the posterior distribution over weight space of a Add to Reading List Document Date: 2006-06-16 03:40:29 Open Document File Size: 296,89 KB Share Result on Facebook Company Gartner / Xt / NEURAL NETWORKS / / IndustryTerm layer network / / Position Bishop / feed-forward / / Product MONTE CARLO / / Technology neural network / Langevin algorithm / Metropolis-adjusted Langevin algorithm / / SocialTag Central limit theorem Estimation theory Exponentiation Moment-generating function Integral transforms Normal distribution Fourier transform Mathematical analysis Mathematics Statistics

EFFICIENT MONTE CARLO FOR NEURAL NETWORKS WITH LANGEVIN SAMPLERS L.A. BREYER, M. PICCIONI, AND S. SCARLATTI Abstract. We consider the task of simulating efficiently from the posterior distribution over weight space of a Add to Reading List