2018
Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization
AISTATS 2018poster
In this paper, we propose a novel sufficient decrease technique for stochastic variance reduced gradient descent methods such as SVRG and SAGA. In order to make sufficient decrease for stochastic optimization, we design a new sufficient decrease criterion, which yields sufficient decrease versions o…