Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization.
Zhitong XuShandian ZhePublished in: CoRR (2024)
Keyphrases
- gaussian process
- gaussian processes
- high dimensional
- marginal likelihood
- regression model
- gaussian process regression
- gaussian process classification
- model selection
- expectation propagation
- bayesian framework
- latent variables
- covariance function
- fully bayesian
- semi supervised
- approximate inference
- hyperparameters
- latent space
- bayesian inference
- posterior probability
- low dimensional
- sparse approximations
- feature space
- gaussian process models
- data sets
- sample size
- dimensionality reduction
- similarity measure
- decision trees