Minimax efficient finite-difference stochastic gradient estimators using black-box function evaluations-Reference-Cited by-同舟云学术

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Minimax efficient finite-difference stochastic gradient estimators using black-box function evaluations

Published:2021-01 Issue:1 Volume:49 Page:40-47
ISSN:0167-6377
Container-title:Operations Research Letters
language:en
Short-container-title:Operations Research Letters

Author:

Lam Henry^ORCID,Li Haidong^ORCID,Zhang Xuhui

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,Management Science and Operations Research,Software

Reference26 articles.

1. Stochastic Simulation: Algorithms and Analysis, Vol. 57;Asmussen,2007

2. Optimal estimation of derivatives in nonparametric regression;Dai;J. Mach. Learn. Res.,2016

3. Derivative estimation with local polynomial fitting;De Brabanter;J. Mach. Learn. Res.,2013

4. Statistical estimation and optimal recovery;Donoho;Ann. Statist.,1994

5. Geometrizing rates of convergence, III;Donoho;Ann. Statist.,1991

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1. Small Errors in Random Zeroth-Order Optimization Are Imaginary;SIAM Journal on Optimization;2024-07-19

2. On difference‐based gradient estimation in nonparametric regression;Statistical Analysis and Data Mining: The ASA Data Science Journal;2023-09-16

3. Batching on Biased Estimators;2022 Winter Simulation Conference (WSC);2022-12-11

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