Conformal inference for regression on Riemannian Manifolds.
Alejandro CholaquidisFabrice GamboaLeonardo MorenoPublished in: CoRR (2023)
Keyphrases
- riemannian manifolds
- euclidean space
- reproducing kernel hilbert space
- regression model
- covariance matrix
- multi class classification
- vector space
- bayesian networks
- support vector
- loss function
- mean shift
- gaussian processes
- covariance matrices
- kernel function
- geodesic distance
- special case
- markov random field
- kernel methods
- parameter space
- knn
- bayesian inference
- geometric structure
- feature space