Linear Convergence of Adaptive Stochastic Gradient Descent.

Yuege Xie Xiaoxia Wu Rachel Ward

Published in: CoRR (2019)

Keyphrases

stochastic gradient descent
step size
weight vector
least squares
loss function
convergence rate
matrix factorization
multiple kernel learning
upper bound
linear model
linear svm
lower bound
convex hull
linear combination
feature selection
learning rate
regularization parameter
support vector machine