Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds.
Paul RosaViacheslav BorovitskiyAlexander TereninJudith RousseauPublished in: CoRR (2023)
Keyphrases
- data points
- gaussian processes
- riemannian manifolds
- euclidean space
- gaussian process
- reproducing kernel hilbert space
- feature space
- bayesian framework
- low dimensional
- regression model
- hyperparameters
- metric space
- model selection
- geodesic distance
- vector space
- semi supervised
- multi task learning
- latent variables
- manifold learning
- probabilistic model
- geometric structure
- probability distribution
- generative model
- support vector
- closed form
- covariance matrix
- probability density function
- higher order
- cross validation