A stochastic subspace approach to gradient-free optimization in high dimensions

David Kozak, Stephen Becker, Alireza Doostan +1

We present a stochastic descent algorithm for unconstrained optimization that is particularly efficient when the objective function is slow to evaluate and gradients are not easily…