Parallel Gaussian Process Optimization with Upper Confidence Bound and Pure Exploration
Emile ContalDavid BuffoniAlexandre RobicquetNicolas VayatisPublished in: CoRR (2013)
Keyphrases
- gaussian process
- gaussian processes
- upper confidence bound
- regression model
- model selection
- approximate inference
- gaussian process regression
- hyperparameters
- bayesian framework
- contextual bandit
- latent variables
- sparse approximations
- gaussian process classification
- expectation propagation
- semi supervised
- covariance function
- cross validation
- gaussian process models
- machine learning
- missing values