Interpolating between sampling and variational inference with infinite stochastic mixtures.
Richard D. LangeAri BenjaminRalf M. HaefnerXaq PitkowPublished in: CoRR (2021)
Keyphrases
- variational inference
- mixture model
- bayesian inference
- probabilistic model
- monte carlo
- topic models
- posterior distribution
- gaussian process
- latent dirichlet allocation
- probabilistic graphical models
- variational methods
- expectation maximization
- markov chain monte carlo
- language model
- closed form
- model selection
- gaussian mixture model
- exponential family
- random sampling
- em algorithm
- latent variables
- maximum likelihood
- generative model
- density estimation
- particle filter
- exact inference
- sample size
- approximate inference
- sampling algorithm
- factor graphs
- probability distribution
- bayesian networks
- feature space
- machine learning
- parameter estimation
- hidden markov models
- co occurrence