Sequential stochastic blackbox optimization with zeroth-order gradient estimators

This work considers stochastic optimization problems in which the objective function values can only be computed by a blackbox corrupted by some random noise following an unknown distribution. The proposed method is based on sequential stochastic optimization (SSO), i.e., the original problem is dec...

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Bibliographic Details
Main Authors: Charles Audet, Jean Bigeon, Romain Couderc, Michael Kokkolaras
Format: Article
Language:English
Published: AIMS Press 2023-09-01
Series:AIMS Mathematics
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/math.20231321?viewType=HTML