Almost surely constrained convex optimization

Olivier Fercoq, Ahmet Alacaoglu, Ion Necoara, Volkan Cevher

Abstract: We propose a stochastic gradient framework for solving stochastic composite convex optimization problems with (possibly) infinite number of linear inclusion constraints that need to be satisfied al...