2019
A Generic Acceleration Framework for Stochastic Composite Optimization
NeurIPS 2019poster
In this paper, we introduce various mechanisms to obtain accelerated first-order stochastic optimization algorithms when the objective function is convex or strongly convex. Specifically, we extend the Catalyst approach originally designed for deterministic objectives to the stochastic setting. Give…