Hyperbolic Manifold Regression.
Gian Maria MarconiLorenzo RosascoCarlo CilibertoPublished in: CoRR (2020)
Keyphrases
- locally linear
- regression model
- model selection
- linear regression
- regression algorithm
- regression problems
- ridge regression
- manifold learning
- support vector regression
- gaussian processes
- regression analysis
- multi dimensional scaling
- euclidean space
- low dimensional
- regression method
- simple linear
- aggregating algorithm
- regression methods
- feature space
- support vector
- manifold structure
- nonlinear dimensionality reduction
- lie group
- partial differential equations
- low dimensional manifolds
- polynomial regression
- tangent space
- learning algorithm