RETRACTED ARTICLE: Convergence in quadratic mean of averaged stochastic gradient algorithms without strong convexity nor bounded gradient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...
Saved in:
| Published in: | Statistics (Berlin, DDR) Vol. 57; no. 3; pp. 637 - 668 |
|---|---|
| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
Abingdon
Taylor & Francis
04.05.2023
Taylor & Francis Ltd |
| ISSN: | 0233-1888, 1029-4910 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as "Retracted". |
|---|---|
| Bibliography: | ObjectType-Correction/Retraction-1 SourceType-Scholarly Journals-1 content type line 14 |
| ISSN: | 0233-1888 1029-4910 |
| DOI: | 10.1080/02331888.2023.2213371 |