Nonparametric Gaussian Process Covariances via Multidimensional Convolutions.
Thomas M. McDonaldMagnus RossMichael T. SmithMauricio A. ÁlvarezPublished in: AISTATS (2023)
Keyphrases
- gaussian process
- bayesian modeling
- gaussian processes
- gaussian process regression
- model selection
- bayesian framework
- approximate inference
- regression model
- hyperparameters
- semi supervised
- gaussian process classification
- latent variables
- expectation propagation
- covariance matrix
- covariance function
- sparse approximations
- covariance matrices
- gaussian process models
- cross validation
- active learning
- dirichlet process
- marginal likelihood
- bayesian inference
- generative model
- high resolution
- support vector