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...
Main Authors: | , |
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Format: | Journal article |
Language: | English |
Published: |
2012
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