Stochastic Gradient Descent on Riemannian Manifolds.
Silvere BonnabelPublished in: IEEE Trans. Autom. Control. (2013)
Keyphrases
- stochastic gradient descent
- riemannian manifolds
- euclidean space
- least squares
- loss function
- step size
- matrix factorization
- support vector machine
- vector space
- feature space
- mean shift
- parameter space
- weight vector
- metric space
- manifold learning
- data points
- covariance matrix
- low dimensional
- kernel function
- multi class
- active learning
- pairwise