Numerical Analysis Seminar: Brendan Keith, Brown University, Adaptive sampling for constrained optimization under uncertainty
ZoomStochastic optimization problems with deterministic constraints commonly appear in machine learning, finance, and engineering applications. This talk presents a new adaptive solution strategy for this important class of problems. The aim is to decrease the computational cost while maintaining an optimal convergence rate. The guiding principle is to adjust the batch size (or sample size)…