Sparse Spectrum Gaussian Process for Bayesian Optimisation.
Ang YangCheng LiSantu RanaSunil GuptaSvetha VenkateshPublished in: CoRR (2019)
Keyphrases
- gaussian process
- gaussian processes
- covariance function
- sparse approximations
- sparse approximation
- marginal likelihood
- hyperparameters
- gaussian process regression
- fully bayesian
- model selection
- posterior distribution
- expectation propagation
- regression model
- bayesian inference
- bayesian framework
- latent variables
- approximate inference
- semi supervised
- gaussian process models
- bayesian learning
- sparse representation
- gaussian process classification
- bayesian methods
- human pose estimation
- high dimensional
- maximum likelihood
- feature selection
- cross validation
- probabilistic model
- bayesian networks
- random sampling
- incremental learning
- prior information
- closed form
- sample size
- em algorithm
- dimensionality reduction
- support vector
- machine learning