Approximate posterior inference for Bayesian models: black-box expectation propagation.
Ximing LiChangchun LiJinjin ChiJihong OuyangPublished in: Knowl. Inf. Syst. (2022)
Keyphrases
- expectation propagation
- black box
- bayesian models
- bayesian inference
- posterior distribution
- variational inference
- gaussian process
- bayesian model
- probabilistic model
- bayesian framework
- variational bayes
- bayesian methods
- markov chain monte carlo
- latent variables
- hyperparameters
- prior information
- gaussian processes
- approximate inference
- probability distribution
- parameter estimation
- posterior probability
- density estimation
- model selection
- regression model
- prior knowledge
- mixture model
- maximum a posteriori
- support vector
- pairwise
- feature selection
- co occurrence
- bayesian networks
- sample size
- graphical models
- particle filter
- gaussian distribution
- random variables
- neural network
- closed form
- cross validation