Constrained and composite optimization via adaptive sampling methods
Constrained and composite optimization via adaptive sampling methods
Abstract The motivation for this paper stems from the desire to develop an adaptive sampling method for solving constrained optimization problems, in which the objective function is stochastic and the constraints are deterministic. The method proposed in this paper is a proximal gradient method that can also be applied to …