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Mathematics of Operations Research, 2025, Volume 50, Issue 2, Pages 783–1583
DOI: https://doi.org/10.1287/moor.2022.0179
(Mi mor3)
 

This article is cited in 4 scientific papers (total in 4 papers)

Finite-time high-probability bounds for Polyak–Ruppert averaged iterates of linear stochastic approximation

Alain Durmusa, Eric Moulinesa, Alexey Naumovbc, Sergey Samsonovbd

a Department of Applied Mathematics, Ecole Polytechnique, 91128 Palaiseau, France
b HSE University, Moscow 101000, Russian Federation
c Steklov Mathematical Institute of Russian Academy of Sciences, Moscow 101000, Russian Federation
d Institute for Information Transmission Problems, Moscow 101000, Russian Federation
Full-text PDF Citations (4)
Funding agency Grant number
Agence Nationale de la Recherche ANR-19-CHIA-0002
European Research Council ERC-SyG OCEAN Grant 101071601
HSE Basic Research Program
The work of A. Durmus and E. Moulines was partly supported by [Grant ANR-19-CHIA-0002]. This project received funding from the European Research Council [ERC-SyG OCEAN Grant 101071601]. The research of A. Naumov and S. Samsonov was prepared within the framework of the HSE University Basic Research Program.
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Document Type: Article
Language: English
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  • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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