Stochastic finite-difference schemes for nondifferentiable quasiconvex optimization: convergence rate
The obtained results significantly broaden the applicability of stochastic finite-difference methods to nonsmooth quasiconvex optimization problems and provide a rigorous theoretical justification of the algorithm in black-box settings where only noisy function evaluations are available.