Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds.
Daniel DoddLouis SharrockChristopher NemethPublished in: CoRR (2024)
Keyphrases
- stochastic optimization
- learning rate
- riemannian manifolds
- euclidean space
- convergence rate
- multistage
- vector space
- learning algorithm
- convergence speed
- parameter space
- multi class classification
- mean shift
- geometric structure
- geodesic distance
- covariance matrices
- robust optimization
- feature space
- covariance matrix
- feature vectors
- machine learning
- neural network
- graph cuts
- manifold learning
- low dimensional
- simulated annealing
- multi class
- reproducing kernel hilbert space