986 citations · 2k across the 50 of their papers we have counts for
3 papers · 1 filter
Nested Hierarchical Dirichlet Processes
John Paisley, Chong Wang, David M. Blei +1
We develop a nested hierarchical Dirichlet process (nHDP) for hierarchical topic modeling. The nHDP is a generalization of the nested Chinese restaurant process (nCRP) that allows…
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…
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…