Flexible mean field variational inference using mixtures of non-overlapping exponential families.
Jeffrey P. SpencePublished in: NeurIPS (2020)
Keyphrases
- exponential family
- variational bayes
- mixture model
- variational inference
- bayesian inference
- maximum likelihood
- log likelihood
- closed form
- density estimation
- markov chain monte carlo
- model selection
- gaussian mixture model
- latent variables
- graphical models
- expectation maximization
- bayesian learning
- statistical models
- hyperparameters
- posterior distribution
- variational methods
- missing values
- latent dirichlet allocation
- hidden variables
- probabilistic inference
- bayesian networks
- belief networks
- probability density function