Objective Bound Conditional Gaussian Process for Bayesian Optimization.
Taewon JeongHeeyoung KimPublished in: ICML (2021)
Keyphrases
- gaussian process
- gaussian processes
- conditional distribution
- marginal likelihood
- hyperparameters
- regression model
- gaussian process regression
- bayesian framework
- model selection
- approximate inference
- expectation propagation
- gaussian process classification
- fully bayesian
- semi supervised
- covariance function
- lower bound
- bayesian inference
- latent variables
- upper bound
- posterior distribution
- bayesian methods
- posterior probability
- cross validation
- worst case
- random sampling
- prior knowledge
- sparse approximations
- closed form
- sample size
- maximum likelihood
- machine learning