This paper considers stochastic convex optimization problems where the objective and constraint functions involve expectations with respect to data indices or environmental variables, in addition deterministic constraints on domain of variables. Since underlying distribution is unknown a priori, closed-form solution generally not available, classical paradigms are applicable. State-of-the-art a...