Provably Efficient Bayesian Optimization with Unbiased Gaussian Process Hyperparameter Estimation.
Huong HaVu NguyenHongyu ZhangAnton van den HengelPublished in: CoRR (2023)
Keyphrases
- gaussian process
- gaussian processes
- hyperparameters
- gaussian process regression
- regression model
- model selection
- approximate inference
- gaussian process classification
- marginal likelihood
- bayesian framework
- latent variables
- gaussian process models
- covariance function
- fully bayesian
- maximum likelihood
- bayesian inference
- posterior distribution
- grid search
- expectation propagation
- sparse approximations
- semi supervised
- upper bound
- similarity measure
- closed form
- support vector
- human pose estimation
- bayesian methods
- higher order
- em algorithm
- random sampling
- multi task