Author:
Berahas Albert S.,Cao Liyuan,Choromanski Krzysztof,Scheinberg Katya
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Analysis
Reference51 articles.
1. Søren Asmussen and Peter W. Glynn. Stochastic simulation - algorithms and analysis, volume 57 of Stochastic modeling and applied probability. Springer, 2007.
2. Afonso Bandeira, Katya Scheinberg, and Luis N Vicente. Computation of sparse low degree interpolating polynomials and their application to derivative-free optimization. Mathematical Programming, Series B, 134:223–257, 2012.
3. Anastasia Bayandina, Alexander Gasnikov, Fariman Guliev, and Anastasia Lagunovskaya. Gradient-free two-points optimal method for nonsmooth stochastic convex optimization problem with additional small noise. arXiv preprintarXiv:1701.03821, 2017.
4. Albert S Berahas, Richard H Byrd, and Jorge Nocedal. Derivative-free optimization of noisy functions via quasi-newton methods. SIAM Journal on Optimization, 29(2):965–993, 2019.
5. Albert S Berahas, Liyuan Cao, and Katya Scheinberg. Global convergence rate analysis of a generic line search algorithm with noise. arXiv preprintarXiv:1910.04055, 2019.
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