Expectation propagation for nonstationary heteroscedastic Gaussian process regression.
Ville TolvanenPasi JylänkiAki VehtariPublished in: MLSP (2014)
Keyphrases
- non stationary
- gaussian process regression
- expectation propagation
- gaussian process
- covariance function
- gaussian processes
- approximate inference
- regression model
- bayesian framework
- latent variables
- hyperparameters
- semi supervised
- model selection
- bayesian inference
- variational bayes
- gaussian distribution
- bayesian methods
- prior knowledge
- maximum likelihood
- active learning