Stochastic Variational Inference for Dynamic Correlated Topic Models.
Federico TomasiPraveen ChandarGal Levy-FixMounia Lalmas-RoellekeZhenwen DaiPublished in: UAI (2020)
Keyphrases
- topic models
- variational inference
- latent dirichlet allocation
- hierarchical bayesian
- topic modeling
- collapsed gibbs sampling
- bayesian nonparametric
- bayesian inference
- probabilistic model
- text mining
- text documents
- latent variables
- co occurrence
- hierarchical dirichlet process
- closed form
- generative model
- gaussian process
- variational methods
- posterior distribution
- latent topics
- probabilistic graphical models
- gibbs sampling
- mixture model
- factor graphs
- machine learning
- exponential family
- probability distribution
- posterior probability
- parameter estimation
- information retrieval