Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration.
Emile ContalDavid BuffoniAlexandre RobicquetNicolas VayatisPublished in: ECML/PKDD (1) (2013)
Keyphrases
- gaussian process
- gaussian processes
- upper confidence bound
- regression model
- gaussian process regression
- model selection
- approximate inference
- contextual bandit
- hyperparameters
- gaussian process classification
- bayesian framework
- expectation propagation
- covariance function
- gaussian process models
- latent variables
- semi supervised
- sparse approximations
- bayesian networks
- prior knowledge
- prior information
- cross validation