Stability and Sample-based Approximations of Composite Stochastic Optimization Problems

Darinka Dentcheva, Yang Lin, Spiridon Penev

Optimization under uncertainty and risk is indispensable in many practical situations. Our paper addresses stability of optimization problems using composite risk functionals which…