Restarting accelerated gradient methods with a rough strong convexity estimate

Olivier Fercoq; Zheng Qu

Reports

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

Document type :

Reports

Domain :

Mathematics [math] / Optimization and Control [math.OC]

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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

Restarting accelerated gradient methods with a rough strong convexity estimate

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Restarting accelerated gradient methods with a rough strong convexity estimate

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