Averaged Collapsed Variational Bayes Inference.
Katsuhiko IshiguroIssei SatoNaonori UedaPublished in: J. Mach. Learn. Res. (2017)
Keyphrases
- variational bayes
- bayesian inference
- latent variables
- hyperparameters
- gaussian mixture model
- bayesian learning
- free energy
- posterior distribution
- latent dirichlet allocation
- expectation propagation
- exponential family
- prior information
- probabilistic model
- model selection
- log likelihood
- variational inference
- hidden variables
- machine learning
- active learning
- upper bound
- maximum likelihood
- markov chain monte carlo
- expectation maximization
- em algorithm
- noise level
- parameter estimation
- closed form
- bayesian framework