Suchergebnisse - "learning-augmented algorithm"

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  1. 1

    Learning-Augmented Online Minimization of Age of Information and Transmission Costs von Liu, Zhongdong, Zhang, Keyuan, Li, Bin, Sun, Yin, Hou, Y. Thomas, Ji, Bo

    ISSN: 2327-4697, 2334-329X
    Veröffentlicht: Piscataway IEEE 01.09.2025
    “… We consider a discrete-time system where a resource-constrained source (e.g., a small sensor) transmits its time-sensitive data to a destination over a …”
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    AI-Augmented Parameter Initialization for QAOA von Nana, Jai, Li, Xinpeng, Xie, Ning, Pu, Shusen, Yu, Yifan, Guan, Qiang, Han, Xiaotian, Xu, Shuai, Chaudhary, Vipin

    ISSN: 2325-6664
    Veröffentlicht: IEEE 23.06.2025
    “… The recent interest in learning-augmented algorithms has motivated us to explore their applicability in quantum computing, specifically during the noisy …”
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    Learning-augmented Online Minimization of Age of Information and Transmission Costs von Liu, Zhongdong, Zhang, Keyuan, Li, Bin, Sun, Yin, Hou, Y. Thomas, Ji, Bo

    ISSN: 2833-0587
    Veröffentlicht: IEEE 20.05.2024
    “… We consider a discrete-time system where a resource-constrained source (e.g., a small sensor) transmits its time-sensitive data to a destination over a …”
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    Learning-Augmented Scheduling von Zhao, Tianming, Li, Wei, Zomaya, Albert Y.

    ISSN: 0018-9340, 1557-9956
    Veröffentlicht: IEEE 01.11.2024
    Veröffentlicht in IEEE transactions on computers (01.11.2024)
    “… The recent revival in learning theory has provided us with improved capabilities for accurate predictions. This work contributes to an emerging research agenda …”
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    Boosting Double Coverage for k-Server via Imperfect Predictions von Lindermayr, Alexander, Megow, Nicole, Simon, Bertrand

    ISSN: 0178-4617, 1432-0541
    Veröffentlicht: New York Springer US 01.11.2025
    Veröffentlicht in Algorithmica (01.11.2025)
    “… We study the online k -server problem in a learning-augmented setting. While in the traditional online model, an algorithm has no information about the request …”
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    Learning-augmented algorithms for online subset sum von Xu, Chenyang, Zhang, Guochuan

    ISSN: 0925-5001, 1573-2916
    Veröffentlicht: New York Springer US 01.11.2023
    Veröffentlicht in Journal of global optimization (01.11.2023)
    “… As one of Karp’s 21 NP-complete problems, the subset sum problem, as well as its generalization, has been well studied. Among the rich literature, there is …”
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    Journal Article
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    Robust machine-learned algorithms for efficient grid operation von Christianson, Nicolas, Yeh, Christopher, Li, Tongxin, Hosseini, Mehdi, Torabi Rad, Mahdi, Golmohammadi, Azarang, Wierman, Adam

    ISSN: 2634-4602, 2634-4602
    Veröffentlicht: Cambridge University Press 22.04.2025
    Veröffentlicht in Environmental Data Science (22.04.2025)
    “… Increasing penetration of variable and intermittent renewable energy resources on the energy grid poses a challenge for reliable and efficient grid operation, …”
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    Journal Article
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    Online Dynamic Acknowledgement with Learned Predictions von Im, Sungjin, Moseley, Benjamin, Xu, Chenyang, Zhang, Ruilong

    ISSN: 2641-9874
    Veröffentlicht: IEEE 17.05.2023
    “… We revisit the online dynamic acknowledgment problem. In the problem, a sequence of requests arrive over time to be acknowledged, and all outstanding requests …”
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