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Lakhmiri, Dounia [Author]; Orban, Dominique [Author]; Lodi, Andrea [Author]

A stochastic proximal method for nonsmooth regularized finite sum optimization

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https://www.gerad.ca/fr/papers/G-2022-27/view

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Montréal (Québec), Canada: GERAD, HÉC Montréal, [2022]

Published in: Les cahiers du GERAD ; 2022,27
Yudin, Nikita [Author]; Gasnikov, Alexander [Author]

Flexible modification of Gauss--Newton method and its stochastic extension - [published Version]

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https://oa.tib.eu/renate/handle/123456789/9531

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Berlin : Weierstraß-Institut für Angewandte Analysis und Stochastik, 2021
Yudin, Nikita [Author]; Gasnikov, Alexander [Author]

Flexible modification of Gauss--Newton method and its stochastic extension

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Weierstrass Institute for Applied Analysis and Stochastics publication server, 2021
Yudin, Nikita [Author]; Gasnikov, Alexander [Author]

Flexible modification of Gauss--Newton method and its stochastic extension

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Weierstrass Institute for Applied Analysis and Stochastics publication server, 2021
Shivanand, Sharana Kumar [Author] ; Matthies, Hermann G. [Degree supervisor]; Rosić, Bojana [Degree supervisor]

Stochastic material modelling and multi-fidelity uncertainty quantification of macroscopic bone tissue

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https://d-nb.info/1276328788/34

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Braunschweig: Technische Universität Braunschweig, 2022
Geiersbach, Caroline [Author]; Scarinci, Teresa [Author]

Stochastic proximal gradient methods for nonconvex problems in Hilbert spaces - [published Version]

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New York, NY [u.a.] : Springer Science + Business Media B.V., 2021

Published in: Computational optimization and applications : an international journal 78 (2021), Nr. 3
Geiersbach, Caroline [Author]; Scarinci, Teresa [Author]

Stochastic proximal gradient methods for nonconvex problems in Hilbert spaces

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New York, NY: Springer US, 2021
Geiersbach, Caroline [Author]; Scarinci, Teresa [Author]

Stochastic proximal gradient methods for nonconvex problems in Hilbert spaces

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Weierstrass Institute for Applied Analysis and Stochastics publication server, 2021
Geiersbach, Caroline [Author]; Scarinci, Teresa [Author]

Stochastic proximal gradient methods for nonconvex problems in Hilbert spaces

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Weierstrass Institute for Applied Analysis and Stochastics publication server, 2021
Angerhausen, Sebastian [Author] ; Clason, Christian [Degree supervisor]

A stochastic primal-dual proximal splitting method forrRisk-averse optimal control of PDEs

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https://d-nb.info/1288582862/34

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Duisburg; Essen: Universität Duisburg-Essen, 2023
Angerhausen, Sebastian [Author] ; Clason, Christian [Degree supervisor]

A stochastic primal-dual proximal splitting method forrRisk-averse optimal control of PDEs

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https://nbn-resolving.org/urn:nbn:de:hbz:465-20230412-081808-2

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Duisburg; Essen: Universität Duisburg-Essen, 2023
Angerhausen, Sebastian [Author] ; Clason, Christian [Contributor]

A Stochastic Primal-Dual Proximal Splitting Method for Risk-Averse Optimal Control of PDEs ; Ein Stochastisches Primal-Duales Proximal-Splittingverfahren für Risiko-Averse Optimalsteuerung von PDGln

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University of Duisburg-Essen: DuEPublico2 (Duisburg Essen Publications online), 2023-04-12
Zhang, Liwei; Zhang, Yule; Xiao, Xiantao; Wu, Jia

Stochastic Approximation Proximal Method of Multipliers for Convex Stochastic Programming

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Institute for Operations Research and the Management Sciences (INFORMS), 2023

Published in: Mathematics of Operations Research
Xiang, Xin; Xia, Haoming

Almost Sure Convergence of Proximal Stochastic Accelerated Gradient Methods

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Scientific Research Publishing, Inc., 2024

Published in: Journal of Applied Mathematics and Physics
Qiu, Chenyang; Zhu, Shanying; Ou, Zichong; Lu, Jie

A Stochastic Second-Order Proximal Method for Distributed Optimization

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Institute of Electrical and Electronics Engineers (IEEE), 2023

Published in: IEEE Control Systems Letters
Lei, Jialin; Zhang, Ying; Zhang, Zhao

A Variance Reducing Stochastic Proximal Method with Acceleration Techniques

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Tsinghua University Press, 2023

Published in: Tsinghua Science and Technology
Farina, Francesco; Notarstefano, Giuseppe

Randomized Block Proximal Methods for Distributed Stochastic Big-Data Optimization

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Institute of Electrical and Electronics Engineers (IEEE), 2021

Published in: IEEE Transactions on Automatic Control
Geiersbach, Caroline; Scarinci, Teresa

Stochastic proximal gradient methods for nonconvex problems in Hilbert spaces

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Springer Science and Business Media LLC, 2021

Published in: Computational Optimization and Applications
Wang, Xiao; Zhang, Hongchao

Inexact proximal stochastic second-order methods for nonconvex composite optimization

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Informa UK Limited, 2020

Published in: Optimization Methods and Software
Hazan, Tamir; Sabach, Shoham; Voldman, Sergey

Stochastic proximal linear method for structured non-convex problems

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Informa UK Limited, 2020

Published in: Optimization Methods and Software

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