Riemannian Optimization on the Symplectic Stiefel Manifold.
Bin GaoNguyen Thanh SonPierre-Antoine AbsilTatjana StykelPublished in: SIAM J. Optim. (2021)
Keyphrases
- euclidean space
- riemannian manifolds
- geodesic distance
- manifold learning
- riemannian metric
- fisher information
- optimization process
- tangent space
- euclidean distance
- optimization problems
- optimization method
- feature space
- shape space
- higher dimensional
- global optimization
- vector space
- low dimensional
- optimization algorithm
- geometric structure
- metric space
- evolutionary algorithm
- finite dimensional
- lie group
- high dimensional
- information geometry
- similarity measure