Before revision:  We note that prior generalization approaches, i.e., variants of the\emph{Sample Average Approximation method , can be used for the problems we consider, however they would yield worse approximation guarantees .
After revision:  We note that prior generalization approaches, i.e., variants of the\emph{Sample Average Approximation model. Finally, we note that the scenario-discarding modification to the SAA method is necessary in order to optimize over the radius .