Suchergebnisse - "Convex and strongly convex functions"

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    Information-constrained optimization: can adaptive processing of gradients help? von Acharya, Jayadev, Canonne, Clément L, Mayekar, Prathamesh, Tyagi, Himanshu

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 02.04.2021
    Veröffentlicht in arXiv.org (02.04.2021)
    “… from it.We consider optimization for both convex and strongly convex functions and obtain tight or nearly tight lower bounds for the convergence rate, when adaptive gradient processing is allowed …”
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