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Bounds on the Bethe Free Energy for Gaussian Networks
Published on Feb 01, 20084291 Views
We consider approximate inference in Gaussian probabilistic models with approximate free energy methods. We define the (fractional) Bethe free energy and directly minimize it. A lower bound for the fr
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Chapter list
Bounds on the Bethe free energy for Gaussian networks00:00
Overview00:08
Inference in conditional Gaussian models - special cases00:25
Inference in Gaussian models00:50
Factor graph representation01:07
Message passing and computation trees01:23
Free energy methods - 102:12
Free energy methods - 203:42
Direct minimization and a lower bound - 104:52
Direct minimization and a lower bound - 207:01
Experiments - error in approximation09:32
Conclusions10:49
Inference in conditional Gaussian models - special cases12:29