A Unifying Framework for Sparse Gaussian Process Approximation using Power Expectation Propagation.
Thang D. BuiJosiah YanRichard E. TurnerPublished in: CoRR (2016)
Keyphrases
- gaussian process
- expectation propagation
- covariance function
- gaussian process classification
- bayesian framework
- approximate inference
- bayesian inference
- gaussian processes
- marginal likelihood
- density estimation
- regression model
- gaussian process regression
- latent variables
- model selection
- hyperparameters
- probabilistic model
- bayesian methods
- semi supervised
- variational bayes
- dynamic bayesian networks
- high dimensional
- free energy
- posterior distribution
- maximum likelihood
- feature selection