Parametric Gaussian Process Regressors.
Martin JankowiakGeoff PleissJacob R. GardnerPublished in: ICML (2020)
Keyphrases
- gaussian process
- gaussian processes
- approximate inference
- gaussian process regression
- regression model
- bayesian framework
- hyperparameters
- semi supervised
- latent variables
- model selection
- gaussian process classification
- covariance function
- sparse approximations
- expectation propagation
- body parts
- dynamical model
- gaussian process models
- sample size
- support vector
- random sampling
- maximum likelihood
- marginal likelihood