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oaioai:cds.cern.ch:2762168

Patterns of scalable Bayesian inference

Authors
Publication date
1 January 2016
Publisher
'Now Publishers'

Abstract

Patterns of Scalable Bayesian Inference seeks to identify unifying principles, patterns, and intuitions for scaling Bayesian inference. It reviews existing work on utilizing modern computing resources with both MCMC and variational approximation techniques and comments on the path forward

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Last time updated on 29/04/2021

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