2026-08-17T19:54:20Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:20560 2024-08-23T05:50:28Z ddc:004 open_access

From TCS to Learning Theory (Invited Paper) Larsen, Kasper Green Theoretical Computer Science Learning Theory 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Kasper Green Larsen 2024 Is Part Of LIPIcs, Volume 306, 49th International Symposium on Mathematical Foundations of Computer Science (MFCS 2024) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.MFCS.2024.4 urn:nbn:de:0030-drops-205603 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2024.4 eng https://creativecommons.org/licenses/by/4.0/legalcode