A tutorial on variational Bayesian inference

This tutorial describes the mean-field variational Bayesian approximation to inference in graphical models, using modern machine learning terminology rather than statistical physics concepts. It begins by seeking to find an approximate mean-field distribution close to the target joint in the KL-dive...

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Bibliographic Details
Main Authors: Fox, C, Roberts, S
Format: Journal article
Language:English
Published: 2012