Improving the Inference of Topic Models via Infinite Latent State Replications.
Daniel RugelesZhen HaiJuan Felipe CarmonaManoranjan DashGao CongPublished in: CoRR (2023)
Keyphrases
- topic models
- latent variables
- latent topics
- latent dirichlet allocation
- gibbs sampling
- topic modeling
- collapsed gibbs sampling
- variational inference
- generative process
- probabilistic topic models
- latent semantics
- text mining
- variational bayesian inference
- text documents
- dirichlet process
- probabilistic model
- latent topic models
- lda model
- structured prediction
- latent factors
- supervised topic models
- probabilistic latent semantic analysis
- databases
- generative model
- exact inference
- approximate inference
- probabilistic inference
- collaborative filtering
- pairwise
- natural language
- latent topic model
- artificial intelligence
- information retrieval
- data mining