Averaging Stochastic Gradient Descent on Riemannian Manifolds.

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

Published in: COLT (2018)

Keyphrases

stochastic gradient descent
riemannian manifolds
euclidean space
least squares
loss function
step size
matrix factorization
vector space
weight vector
mean shift
manifold learning
parameter space
support vector machine
feature space
metric space
data points
machine learning
support vector