Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds.
Paul RosaSlava BorovitskiyAlexander TereninJudith RousseauPublished in: NeurIPS (2023)
Keyphrases
- maximum a posteriori
- gaussian processes
- riemannian manifolds
- gaussian process
- hyperparameters
- bayesian framework
- reproducing kernel hilbert space
- euclidean space
- metric space
- multi task learning
- vector space
- mean shift
- em algorithm
- parameter space
- geometric structure
- manifold learning
- geodesic distance
- regression model
- feature space
- bayesian inference
- graph cuts
- semi supervised
- probability distribution
- prior knowledge