Online Learning Under A Separable Stochastic Approximation Framework

Min Gan, Xiang-xiang Su, Guang-yong Chen +1

We propose an online learning algorithm for a class of machine learning models under a separable stochastic approximation framework. The essence of our idea lies in the observation…