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From TCS to Learning Theory (Invited Paper)

Author Kasper Green Larsen

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LIPIcs.MFCS.2024.4.pdf
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Author Details

Kasper Green Larsen
  • Aarhus University, Denmark

Funding

  • Larsen, Kasper Green: Supported by a DFF Sapere Aude Research Leader Grant No. 9064-00068B.

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Kasper Green Larsen. From TCS to Learning Theory (Invited Paper). In 49th International Symposium on Mathematical Foundations of Computer Science (MFCS 2024). Leibniz International Proceedings in Informatics (LIPIcs), Volume 306, pp. 4:1-4:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024) https://doi.org/10.4230/LIPIcs.MFCS.2024.4

Abstract

While machine learning theory and theoretical computer science are both based on a solid mathematical foundation, the two research communities have a smaller overlap than what the proximity of the fields warrant. In this invited abstract, I will argue that traditional theoretical computer scientists have much to offer the learning theory community and vice versa. I will make this argument by telling a personal story of how I broadened my research focus to encompass learning theory, and how my TCS background has been extremely useful in doing so. It is my hope that this personal account may inspire more TCS researchers to tackle the many elegant and important theoretical questions that learning theory has to offer.

Subject Classification

ACM Subject Classification
  • Theory of computation
Keywords
  • Theoretical Computer Science
  • Learning Theory

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