Scalable Hyperparameter Optimization with Products of Gaussian Process Experts.
Nicolas SchillingMartin WistubaLars Schmidt-ThiemePublished in: ECML/PKDD (1) (2016)
Keyphrases
- gaussian process
- gaussian processes
- hyperparameters
- regression model
- bayesian framework
- approximate inference
- model selection
- gaussian process regression
- grid search
- latent variables
- gaussian process classification
- gaussian process models
- covariance function
- dynamical model
- semi supervised
- expectation propagation
- marginal likelihood
- cross validation
- sparse approximations
- bayesian inference
- prior information
- probabilistic model