115 citations · 142 across the 2 of their papers we have counts for
2 papers
cs.LG2012★ 115 cited
Variational Bayesian Inference with Stochastic Search
John Paisley, David Blei, Michael Jordan
Mean-field variational inference is a method for approximate Bayesian posterior inference. It approximates a full posterior distribution with a factorized set of distributions by m…
stat.ML2012★ 27 cited
Stochastic Variational Inference
Matt Hoffman, David M. Blei, Chong Wang +1
We develop stochastic variational inference, a scalable algorithm for approximating posterior distributions. We develop this technique for a large class of probabilistic models and…