Approximate variational inference based on a finite sample of Gaussian latent variables.
Nikolaos GianniotisChristoph SchnörrChristian MolkenthinSanjay Singh BoraPublished in: Pattern Anal. Appl. (2016)
Keyphrases
- latent variables
- variational inference
- posterior distribution
- probabilistic model
- topic models
- probabilistic graphical models
- gaussian process
- factor graphs
- exact inference
- approximate inference
- bayesian inference
- random variables
- hidden variables
- latent dirichlet allocation
- prior knowledge
- mixture model
- language model
- markov chain monte carlo
- generative model
- closed form
- graphical models
- gaussian distribution
- text mining
- gaussian mixture model
- sample size
- maximum likelihood
- machine learning
- pairwise
- information retrieval