Mean-field variational approximate Bayesian inference for latent variable models.
Guido ConsonniJean-Michel MarinPublished in: Comput. Stat. Data Anal. (2007)
Keyphrases
- bayesian inference
- latent variable models
- hidden variables
- latent variables
- probabilistic model
- expectation propagation
- prior information
- markov networks
- hyperparameters
- variational bayes
- gaussian process
- real valued
- hidden markov models
- machine learning
- posterior distribution
- generative model
- bayesian networks
- particle filter
- latent dirichlet allocation
- markov chain monte carlo
- data sets
- graphical models
- prior knowledge
- learning problems
- parameter estimation