On Scalable Inference with Stochastic Gradient Descent

Yixin Fang, Jinfeng Xu, Lei Yang

In many applications involving large dataset or online updating, stochastic gradient descent (SGD) provides a scalable way to compute parameter estimates and has gained increasing…