Sparse Spectrum Gaussian Process for Bayesian Optimization.
Ang YangCheng LiSantu RanaSunil GuptaSvetha VenkateshPublished in: PAKDD (2) (2021)
Keyphrases
- gaussian process
- gaussian processes
- covariance function
- sparse approximations
- gaussian process regression
- sparse approximation
- marginal likelihood
- expectation propagation
- regression model
- approximate inference
- latent variables
- bayesian framework
- gaussian process models
- semi supervised
- hyperparameters
- gaussian process classification
- model selection
- fully bayesian
- sparse representation
- bayesian inference
- maximum likelihood
- high dimensional
- posterior distribution
- bayesian networks
- maximum a posteriori
- non stationary
- data sets