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Adaptive variational Bayes: Optimality, computation and applications. (arXiv:2109.03204v2 [math.ST] UPDATED)
Oct. 25, 2022, 1:15 a.m. | Ilsang Ohn, Lizhen Lin
stat.ML updates on arXiv.org arxiv.org
In this paper, we explore adaptive inference based on variational Bayes.
Although several studies have been conducted to analyze the contraction
properties of variational posteriors, there is still a lack of a general and
computationally tractable variational Bayes method that performs adaptive
inference. To fill this gap, we propose a novel adaptive variational Bayes
framework, which can operate on a collection of models. The proposed framework
first computes a variational posterior over each individual model separately
and then combines them …
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