957 citations · 1.1k across the 11 of their papers we have counts for
6 papers · 1 filter
A Nested HDP for Hierarchical Topic Models
John Paisley, Chong Wang, David 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…
The Issue-Adjusted Ideal Point Model
Sean M. Gerrish, David M. Blei
We develop a model of issue-specific voting behavior. This model can be used to explore lawmakers' personal voting patterns of voting by issue area, providing an exploratory window…
A Bayesian Boosting Model
Alexander Lorbert, David M. Blei, Robert E. Schapire +1
We offer a novel view of AdaBoost in a statistical setting. We propose a Bayesian model for binary classification in which label noise is modeled hierarchically. Using variational…
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…
Visualizing Topics with Multi-Word Expressions
David M. Blei, John D. Lafferty
We describe a new method for visualizing topics, the distributions over terms that are automatically extracted from large text corpora using latent variable models. Our method find…
The nested Chinese restaurant process and Bayesian nonparametric inference of topic hierarchies
David M. Blei, Thomas L. Griffiths, Michael I. Jordan
We present the nested Chinese restaurant process (nCRP), a stochastic process which assigns probability distributions to infinitely-deep, infinitely-branching trees. We show how th…