Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction

Neural Information Processing Systems 

We present adaptive gradient methods (both basic and accelerated) for solvingconvex composite optimization problems in which the main part is approximatelysmooth (a.k.a.