structured mean field

Summary

The naive mean field approximation assumes a fully factorized approximating distribution, which can be inaccurate if variables are tightly coupled. Structured mean field instead assumes the distribution factorizes into a product of tractable distributions, such as trees or chains.

Context

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Core resources (we're sorry, we haven't finished tracking down resources for this concept yet)

Supplemental resources (the following are optional, but you may find them useful)

-Free-

Graphical models, exponential families, and variational inference (2008)
An in-depth review of exact and approximate inference methods for graphical models.
Authors: Martin J. Wainwright,Michael I. Jordan

-Paid-

See also

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