Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold.
Jun ChenHaishan YeMengmeng WangTianxin HuangGuang DaiIvor W. TsangYong LiuPublished in: ICLR (2024)
Keyphrases
- conjugate gradient method
- euclidean space
- riemannian manifolds
- geodesic distance
- positive definite
- fisher information
- riemannian metric
- conjugate gradient
- tangent space
- reproducing kernel hilbert space
- shape analysis
- symmetric positive definite
- lie group
- manifold learning
- vector space
- objective function
- metric space
- euclidean distance
- low dimensional
- convergence property
- covariance matrix
- shape space
- iterative methods
- data points
- medical images
- feature space
- training algorithm
- diffusion tensor
- kernel function
- probability distribution
- artificial neural networks
- neural network