Variational Optimization

Automatic Structured Variational Inference

Introduced by Ambrogioni et al. in Automatic structured variational inference

Automatic Structured Variational Inference (ASVI) is a fully automated method for constructing structured variational families, inspired by the closed-form update in conjugate Bayesian models. These convex-update families incorporate the forward pass of the input probabilistic program and can therefore capture complex statistical dependencies. Convex-update families have the same space and time complexity as the input probabilistic program and are therefore tractable for a very large family of models including both continuous and discrete variables.

Source: Automatic structured variational inference

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Probabilistic Programming 1 100.00%

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