Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables.
Nikolaos GianniotisChristoph SchnörrChristian MolkenthinSanjay Singh BoraPublished in: CoRR (2019)
Keyphrases
- latent variables
- variational inference
- posterior distribution
- probabilistic model
- topic models
- gaussian process
- probabilistic graphical models
- factor graphs
- approximate inference
- exact inference
- bayesian inference
- random variables
- latent dirichlet allocation
- markov chain monte carlo
- hidden variables
- prior knowledge
- nearest neighbor
- graphical models
- gaussian distribution
- mixture model
- gaussian mixture model
- generative model
- probability distribution
- sample size
- maximum likelihood
- co occurrence
- language model