Optimistic Optimization of Gaussian Process Samples.
Julia GrosseCheng ZhangPhilipp HennigPublished in: CoRR (2022)
Keyphrases
- gaussian process
- gaussian processes
- gaussian process regression
- regression model
- bayesian framework
- semi supervised
- approximate inference
- model selection
- sparse approximations
- latent variables
- gaussian process models
- dynamical model
- gaussian process classification
- marginal likelihood
- hyperparameters
- covariance function
- expectation propagation
- training set
- bayesian networks
- data sets