Suchergebnisse - "Learning-augmented algorithms"

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  1. 1

    CarbonClipper: Optimal Algorithms for Carbon-Aware Spatiotemporal Workload Management von Lechowicz, Adam, Christianson, Nicolas, Sun, Bo, Bashir, Noman, Hajiesmaili, Mohammad, Wierman, Adam, Shenoy, Prashant

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 14.08.2024
    Veröffentlicht in arXiv.org (14.08.2024)
    “… }\)), in which an online player completes a workload (e.g., a batch compute job) by moving and scheduling the workload across a network subject to a deadline …”
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  2. 2

    Online Covering with Multiple Experts von Kevi, Enikő, Kim-Thang, Nguyen

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 22.12.2023
    Veröffentlicht in arXiv.org (22.12.2023)
    “… (scheduling, caching, clustering, ski rental, etc.). While most previous learning-augmented algorithm approaches focus on integrating the predictions of a single oracle, we study the design of online algorithms with \emph{multiple} experts …”
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