Tuning Stochastic Gradient Algorithms for Statistical Inference via Large-Sample Asymptotics

Jeffrey Negrea, Jun Yang, Haoyue Feng +2

The tuning of stochastic gradient algorithms (SGAs) for optimization and sampling is often based on heuristics and trial-and-error rather than generalizable theory. We address this…