Stochastic gradient descent on Riemannian manifolds.

Silvere Bonnabel

Published in: CoRR (2011)

Keyphrases

stochastic gradient descent
riemannian manifolds
euclidean space
least squares
loss function
matrix factorization
step size
mean shift
vector space
feature space
parameter space
support vector machine
weight vector
manifold learning
covariance matrix
low dimensional
collaborative filtering
high dimensional