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Online Algorithms with Predictions (Invited Talk)

Author Joan Boyar

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Author Details

Joan Boyar
  • University of Southern Denmark, Odense, Denmark

Funding

Supported in part by the Independent Research Fund Denmark, Natural Sciences, grant DFF-0135-00018B, and in part by the Innovation Fund Denmark, grant 9142-00001B, Digital Research Centre Denmark, project P40: Online Algorithms with Predictions.

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Joan Boyar. Online Algorithms with Predictions (Invited Talk). In 48th International Symposium on Mathematical Foundations of Computer Science (MFCS 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 272, pp. 2:1-2:2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/LIPIcs.MFCS.2023.2

Abstract

We give an introduction to online algorithms with predictions, from an algorithms researcher’s perspective, concentrating on minimization problems.

Subject Classification

ACM Subject Classification
  • Theory of computation → Online algorithms
Keywords
  • Online algorithms with predictions
  • online algorithms with advice
  • random order analysis

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References

  1. Algorithms with predictions. https://algorithms-with-predictions.github.io/. Accessed: 2023-07-10.
  2. Antonios Antoniadis, Joan Boyar, Marek Eliás, Lene M. Favrholdt, Ruben Hoeksma, Kim S. Larsen, Adam Polak, and Bertrand Simon. Paging with succinct predictions. CoRR, abs/2210.02775, 2022. To appear in ICML 2023. URL: https://doi.org/10.48550/arXiv.2210.02775.
  3. Magnus Berg, Joan Boyar, Lene M. Favrholdt, and Kim S. Larsen. Online minimum spanning trees with weight predictions. CoRR, abs/2302.12029, 2023. To appear in WADS 2023. URL: https://doi.org/10.48550/arXiv.2302.12029.
  4. Hans-Joachim Böckenhauer, Dennis Komm, Rastislav Královic, Richard Královic, and Tobias Mömke. Online algorithms with advice: The tape model. Information and Computation, 254:59-83, 2017. Google Scholar
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