RETRACTED ARTICLE: Convergence in quadratic mean of averaged stochastic gradient algorithms without strong convexity nor bounded gradient

We, the Editors and Publisher of Statistics, have retracted the following article: Antoine Godichon-Baggioni. Convergence in quadratic mean of averaged stochastic gradient algorithms without strong convexity nor bounded gradient. Statistics. 57:3. 2023. 637-668. doi: 10.1080/02331888.2023.2213371 Th...

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Veröffentlicht in:Statistics (Berlin, DDR) Jg. 57; H. 3; S. 637 - 668
1. Verfasser: Godichon-Baggioni, Antoine
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Abingdon Taylor & Francis 04.05.2023
Taylor & Francis Ltd
ISSN:0233-1888, 1029-4910
Online-Zugang:Volltext
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Zusammenfassung:We, the Editors and Publisher of Statistics, have retracted the following article: Antoine Godichon-Baggioni. Convergence in quadratic mean of averaged stochastic gradient algorithms without strong convexity nor bounded gradient. Statistics. 57:3. 2023. 637-668. doi: 10.1080/02331888.2023.2213371 The author raised concern regarding an error from an inequality (9) on page 647. This inequality cannot be verified if the gradient is bounded. We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions. The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as "Retracted".
Bibliographie:ObjectType-Correction/Retraction-1
SourceType-Scholarly Journals-1
content type line 14
ISSN:0233-1888
1029-4910
DOI:10.1080/02331888.2023.2213371