Convergence Rates for Stochastic Approximation: Biased Noise with Unbounded Variance, and Applications
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Convergence Rates for Stochastic Approximation: Biased Noise with Unbounded Variance, and Applications ; volume:203 ; number:3 ; day:22 ; month:10 ; year:2024 ; pages:2412-2450 ; date:12.2024
Journal of optimization theory and applications ; 203, Heft 3 (22.10.2024), 2412-2450, 12.2024
- Urheber
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Karandikar, Rajeeva Laxman
Vidyasagar, Mathukumalli
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1007/s10957-024-02547-7
- URN
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urn:nbn:de:101:1-2502222132259.594140418271
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:30 MESZ
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Beteiligte
- Karandikar, Rajeeva Laxman
- Vidyasagar, Mathukumalli
- SpringerLink (Online service)
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