A one-bit, comparison-based gradient estimator-Reference-Cited by-同舟云学术

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A one-bit, comparison-based gradient estimator

Published:2022-09 Issue: Volume:60 Page:242-266
ISSN:1063-5203
Container-title:Applied and Computational Harmonic Analysis
language:en
Short-container-title:Applied and Computational Harmonic Analysis

Author:

Cai HanQin^ORCID,McKenzie Daniel^ORCID,Yin Wotao,Zhang Zhenliang

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference44 articles.

1. Simple random search provides a competitive approach to reinforcement learning;Mania,2018

2. Random search for hyper-parameter optimization;Bergstra;J. Mach. Learn. Res.,2012

3. Derivative-free optimization methods;Larson;Acta Numer.,2019

4. A primer on zeroth-order optimization in signal processing and machine learning: principals, recent advances, and applications;Liu;IEEE Signal Process. Mag.,2020

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

2. Stochastic zeroth-order gradient and Hessian estimators: variance reduction and refined bias bounds;Information and Inference: A Journal of the IMA;2023-04-27

3. A Hamilton–Jacobi-based proximal operator;Proceedings of the National Academy of Sciences;2023-03-29

4. Global Solutions to Nonconvex Problems by Evolution of Hamilton-Jacobi PDEs;Communications on Applied Mathematics and Computation;2023-03-20

5. Sequential stochastic blackbox optimization with zeroth-order gradient estimators;AIMS Mathematics;2023

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