318 citations · 778 across the 15 of their papers we have counts for
5 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 Inference in Nonconjugate Models
Chong Wang, David M. Blei
Mean-field variational methods are widely used for approximate posterior inference in many probabilistic models. In a typical application, mean-field methods approximately compute…
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…
Continuous Time Dynamic Topic Models
Chong Wang, David Blei, David Heckerman
In this paper, we develop the continuous time dynamic topic model (cDTM). The cDTM is a dynamic topic model that uses Brownian motion to model the latent topics through a sequentia…
A Split-Merge MCMC Algorithm for the Hierarchical Dirichlet Process
Chong Wang, David M. Blei
The hierarchical Dirichlet process (HDP) has become an important Bayesian nonparametric model for grouped data, such as document collections. The HDP is used to construct a flexibl…