Sparse stochastic inference for latent Dirichlet allocation.
David M. MimnoMatthew D. HoffmanDavid M. BleiPublished in: ICML (2012)
Keyphrases
- latent dirichlet allocation
- gibbs sampling
- collapsed gibbs sampling
- variational bayes
- topic models
- variational bayesian inference
- variational inference
- generative model
- topic modeling
- latent topics
- text mining
- lda model
- topic discovery
- probabilistic latent semantic analysis
- approximate inference
- bayesian networks
- monte carlo
- probabilistic inference
- sparse representation
- bayesian inference
- dimensionality reduction
- generative process
- latent variable models
- dirichlet process
- latent variables
- exact inference
- machine learning
- probabilistic topic models
- posterior distribution
- latent topic models
- directed graphical models
- variational methods
- principal component analysis
- probability distribution
- probabilistic model
- hidden markov models
- high dimensional
- pairwise
- information retrieval