ASVI

2000년 도입 · 논문 2편에서 사용

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.

출처: Automatic structured variational inference

소개 논문: Automatic structured variational inference