High Dimensional Bayesian Optimization with Elastic Gaussian Process.
Santu RanaCheng LiSunil GuptaVu NguyenSvetha VenkateshPublished in: ICML (2017)
Keyphrases
- gaussian process
- gaussian processes
- high dimensional
- marginal likelihood
- model selection
- hyperparameters
- gaussian process regression
- expectation propagation
- fully bayesian
- bayesian framework
- gaussian process classification
- regression model
- bayesian inference
- approximate inference
- gaussian process models
- latent variables
- latent space
- covariance function
- semi supervised
- sparse approximations
- bayesian methods
- maximum likelihood
- feature space
- human pose estimation
- bayesian networks
- posterior probability
- sample size
- random variables
- parameter estimation
- low dimensional
- dimensionality reduction
- probabilistic model
- data sets