Interpolating between sampling and variational inference with infinite stochastic mixtures.
Richard D. LangeAri S. BenjaminRalf M. HaefnerXaq PitkowPublished in: UAI (2022)
Keyphrases
- variational inference
- mixture model
- bayesian inference
- monte carlo
- probabilistic model
- probabilistic graphical models
- topic models
- posterior distribution
- variational methods
- latent dirichlet allocation
- gaussian process
- expectation maximization
- exponential family
- em algorithm
- markov chain monte carlo
- closed form
- generative model
- model selection
- graphical models
- gaussian mixture model
- random sampling
- exact inference
- factor graphs
- density estimation
- sample size
- unsupervised learning
- prior information
- image segmentation
- approximate inference
- maximum likelihood
- prior knowledge