Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation.
Julian BerkSunil GuptaSantu RanaSvetha VenkateshPublished in: CoRR (2020)
Keyphrases
- gaussian process
- gaussian processes
- upper confidence bound
- contextual bandit
- marginal likelihood
- hyperparameters
- expectation propagation
- fully bayesian
- model selection
- gaussian process regression
- bayesian framework
- regression model
- posterior distribution
- latent variables
- approximate inference
- bayesian methods
- covariance function
- bayesian inference
- semi supervised
- gaussian process models
- sparse approximations
- maximum likelihood
- bayesian networks
- em algorithm
- pairwise
- knowledge discovery
- feature selection
- closed form
- data analysis