On some provably correct cases of variational inference for topic models.
Pranjal AwasthiAndrej RisteskiPublished in: NIPS (2015)
Keyphrases
- topic models
- variational inference
- provably correct
- latent dirichlet allocation
- hierarchical bayesian
- topic modeling
- bayesian inference
- bayesian nonparametric
- text documents
- co occurrence
- probabilistic model
- generative model
- text mining
- gibbs sampling
- situation calculus
- latent variables
- latent topics
- probabilistic graphical models
- variational methods
- mixture model
- information retrieval
- factor graphs
- expert systems
- support vector
- data mining