Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation.
Julian BerkSunil GuptaSantu RanaSvetha VenkateshPublished in: IJCAI (2020)
Keyphrases
- gaussian process
- gaussian processes
- upper confidence bound
- contextual bandit
- marginal likelihood
- hyperparameters
- expectation propagation
- regression model
- posterior distribution
- gaussian process regression
- bayesian framework
- fully bayesian
- semi supervised
- latent variables
- bayesian inference
- approximate inference
- model selection
- covariance function
- gaussian process models
- bayesian networks
- bayesian methods
- maximum likelihood
- sparse approximations
- prior knowledge
- image classification
- machine learning
- cross validation
- sample size
- pairwise