Escaping from saddle points on Riemannian manifolds.
Yue SunNicolas FlammarionMaryam FazelPublished in: NeurIPS (2019)
Keyphrases
- riemannian manifolds
- saddle points
- euclidean space
- scale space
- critical points
- vector space
- parameter space
- manifold learning
- multiscale
- geometric structure
- multi class classification
- low dimensional
- machine learning
- data points
- feature space
- geodesic distance
- reproducing kernel hilbert space
- model selection
- euclidean distance
- vector field
- shape analysis
- learning algorithm