Gaussian process optimization through sampling from the maximum distribution.
Hildo BijlThomas B. SchönJan-Willem van WingerdenMichel VerhaegenPublished in: CoRR (2016)
Keyphrases
- gaussian process
- conditional distribution
- gaussian processes
- gaussian process regression
- regression model
- model selection
- bayesian framework
- approximate inference
- hyperparameters
- latent variables
- random sampling
- gaussian process classification
- covariance function
- random variables
- sparse approximations
- expectation propagation
- gaussian process models
- learning algorithm
- semi supervised
- higher order
- high dimensional