Inference for Gaussian Processes with Matern Covariogram on Compact Riemannian Manifolds.
Didong LiWenpin TangSudipto BanerjeePublished in: J. Mach. Learn. Res. (2023)
Keyphrases
- gaussian processes
- riemannian manifolds
- covariance function
- euclidean space
- gaussian process
- multi task learning
- parameter space
- hyperparameters
- reproducing kernel hilbert space
- vector space
- manifold learning
- mean shift
- bayesian inference
- geometric structure
- support vector
- covariance matrix
- bayesian networks
- multi task
- noise level
- higher order
- data points