Statistical Inference with Stochastic Gradient Methods under $\ddot{I}•$-mixing Data

Ruiqi Liu, Xi Chen, Zuofeng Shang

Stochastic gradient descent (SGD) is a scalable and memory-efficient optimization algorithm for large datasets and stream data, which has drawn a great deal of attention and popula…