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Restarting accelerated gradient methods with a rough strong convexity estimate

Olivier Fercoq 1, 2 Zheng Qu 3 
1 S2A - Signal, Statistique et Apprentissage
LTCI - Laboratoire Traitement et Communication de l'Information
2 TSI - Département Traitement du Signal et des Images
3 HKU - The University of Hong Kong
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https://hal.telecom-paris.fr/hal-02287730
Contributor : TelecomParis HAL Connect in order to contact the contributor
Submitted on : Friday, September 13, 2019 - 5:16:29 PM
Last modification on : Wednesday, November 3, 2021 - 6:21:12 AM

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  • HAL Id : hal-02287730, version 1

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INSTITUT-TELECOM | CNRS | INSMI | PARISTECH | TDS-MACS | LARA | UNIV-PARIS-SACLAY | LTCI | IDS | S2A

Citation

Olivier Fercoq, Zheng Qu. Restarting accelerated gradient methods with a rough strong convexity estimate. [Research Report] 1609.07358, Télécom ParisTech. 2016. ⟨hal-02287730⟩

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