Uniform approximation of common Gaussian process kernels using equispaced Fourier grids.
Alex H. BarnettPhilip GreengardManas RachhPublished in: CoRR (2023)
Keyphrases
- gaussian process
- covariance function
- gaussian processes
- expectation propagation
- gaussian process classification
- gaussian process regression
- marginal likelihood
- sparse approximation
- sparse approximations
- regression model
- bayesian framework
- approximate inference
- model selection
- hyperparameters
- reproducing kernel hilbert space
- semi supervised
- latent variables
- gaussian process models
- non stationary
- image reconstruction
- multiscale
- closed form
- fourier analysis
- kernel methods
- decision trees