Averaging Stochastic Gradient Descent on Riemannian Manifolds.

Nilesh Tripuraneni Nicolas Flammarion Francis R. Bach Michael I. Jordan

Published in: CoRR (2018)

Keyphrases

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