Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data

Ahmet Alacaoglu, Hanbaek Lyu

Abstract: We focus on analyzing the classical stochastic projected gradient methods under a general dependent data sampling scheme for constrained smooth nonconvex optimization. We show the worst-case rate o...