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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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Is VAE based on mean-field assumption?

Mean-Field Variational Inference In general mean-field variational inference, there is no distinction between local and global variables. The main elements are: Generative Model. $$ p(z,x) \tag{1a} …
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