Updating Variational Bayes: Fast sequential posterior inference.
Nathaniel TomasettiCatherine S. ForbesAnastasios PanagiotelisPublished in: CoRR (2019)
Keyphrases
- variational bayes
- posterior distribution
- latent variables
- bayesian inference
- hyperparameters
- markov chain monte carlo
- bayesian learning
- probability distribution
- bayesian framework
- free energy
- probabilistic model
- parameter estimation
- gaussian process
- gaussian mixture model
- posterior probability
- latent dirichlet allocation
- model selection
- maximum a posteriori
- expectation propagation
- exponential family
- random sampling
- closed form
- topic models
- cross validation
- gaussian distribution
- pairwise
- prior information
- incomplete data
- bayesian networks
- stereo matching
- sample size
- random variables
- em algorithm
- maximum likelihood
- feature space
- support vector