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Results tagged with variational-bayes
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user 407119
Variational Bayesian methods approximate intractable integrals found in Bayesian inference and machine learning. Primarily, these methods serve one of two purposes: Approximating the posterior distribution, or bounding the marginal likelihood of observed data.
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Conditions of applications for coordinate ascent variational inference?
In every reference about coordinate ascent variational inference for the mean field family (Chapter 10 Of the book of C.Bishop Pattern recognition and machine learning, or the review article of Blei e …
