Our paper titled “Variance-Reduced Stochastic Gradient Descent on Streaming Data”, by Ellango Jothimurugesan, Ashraf Tahmasbi, Phillip B. Gibbons, and Srikanta Tirthapura has been accepted to appear in the Thirty-second Conference on Neural Information Processing Systems (NIPS) 2018. This presents a method to continuously maintain a machine learning model on streaming data. Congrats, Ashraf!