Decentralized Riemannian Gradient Descent on the Stiefel Manifold.
Shixiang ChenAlfredo GarciaMingyi HongShahin ShahrampourPublished in: ICML (2021)
Keyphrases
- euclidean space
- riemannian manifolds
- geodesic distance
- riemannian metric
- fisher information
- lie group
- shape analysis
- tangent space
- low dimensional
- manifold learning
- cost function
- vector space
- metric space
- data points
- distributed systems
- essential matrices
- peer to peer
- loss function
- log euclidean
- euclidean distance
- cooperative
- finite dimensional
- multi agent
- shape space
- high dimensional
- objective function
- geometric structure
- information geometry
- feature vectors
- infinite dimensional
- principal component analysis
- similarity search
- feature extraction
- feature selection