Jinlong Lei

Variance-Reduced Accelerated First-order Methods: Central Limit Theorems and Confidence Statements

2020 · arXiv (Cornell University)

In this paper, we study a stochastic strongly convex optimization problem and propose three classes of variable sample-size stochastic first-order methods including the standard stochastic gradient descent method, its accelerated variant, and the stochastic heavy …