Preconditioning for Scalable Gaussian Process Hyperparameter Optimization.
Jonathan WengerGeoff PleissPhilipp HennigJohn P. CunninghamJacob R. GardnerPublished in: ICML (2022)
Keyphrases
- gaussian process
- gaussian processes
- regression model
- hyperparameters
- model selection
- gaussian process regression
- approximate inference
- grid search
- bayesian framework
- covariance function
- latent variables
- semi supervised
- gaussian process classification
- expectation propagation
- random sampling
- closed form
- sparse approximations
- marginal likelihood
- gaussian process models
- pairwise
- reproducing kernel hilbert space
- incomplete data
- noise level
- image denoising
- cross validation
- sample size
- generative model
- high resolution
- image processing