Jérôme Bolte

Subgradient sampling for nonsmooth nonconvex minimization

2022 · arXiv (Cornell University)

Risk minimization for nonsmooth nonconvex problems naturally leads to first-order sampling or, by an abuse of terminology, to stochastic subgradient descent. We establish the convergence of this method in the path-differentiable case and describe more …