Kasper Green Larsen
@kasperglarsen.bsky.social
670 followers 130 following 53 posts
Professor and Head of Algorithms, Data Structures and Foundations of Machine Learning at Computer Science, Aarhus University
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kasperglarsen.bsky.social
The ICALP program is now online at conferences.au.dk/icalp2025/pr...

Please remember the early registration deadline on May 16th.

Look forward to seeing you in Aarhus!
Programme
conferences.au.dk
kasperglarsen.bsky.social
Almost tight generalisation bounds for large margin voting classifiers and an optimal Majority-of-3-AdaBoosts weak-to-strong learner.

Accepted at COLT'25 🥳

arXiv: arxiv.org/pdf/2502.16462
kasperglarsen.bsky.social
In the Fall, I gave a public lecture on AI and Machine Learning for the Academy of Science in Denmark. I finally finished an English version. The video introduces the basic ideas of AI and ML for any audience with a high school background or math interest. Please share!
youtu.be/NfIBloXpjgU
Artificial Intelligence and Machine Learning: How does it work?
YouTube video by Kasper Green Larsen
youtu.be
Reposted by Kasper Green Larsen
ccanonne.github.io
The Call for Papers (CfP) for #SODA26 is out: www.siam.org/conferences-...

The submission server is open: soda26.hotcrp.com

Deadline: ⏰ Monday, July 14, AoE (July 15, 11:59am UTC)
SODA 2026
soda26.hotcrp.com
Reposted by Kasper Green Larsen
kasperglarsen.bsky.social
Accepted papers for ICALP'25 is now online! Please register for amazing program and come visit us here in Aarhus!
conferences.au.dk/icalp2025/ac...
Accepted Papers
conferences.au.dk
kasperglarsen.bsky.social
The SODA'26 Call for Papers and submission server is now online! Deadline July 14 AOE. Please share and submit your awesome work!
Look very much forward to co-chairing the program committee with Barna Saha @barnacs.bsky.social and the 82 other amazing PC members.
www.siam.org/conferences-...
ACM-SIAM Symposium on Discrete Algorithms (SODA26) | SIAM
www.siam.org
kasperglarsen.bsky.social
On behalf of Raghu Meka: Students at US universities can apply for travel support to attend STOC 2025 Theory Fest (June 23-27, Prague CZ). The deadline for applications is April 27th. Link in comment.
Reposted by Kasper Green Larsen
mahdi.ch
Huge congratulations to my amazing student Yeyuan Chen (+co-author Zihan Zhang of OSU advised by Zeyu Guo) for being awarded the STOC 2025 Best Student Paper Award! Their monumental result proves that explicit Reed-Solomon codes can correct more errors than previously known:
arxiv.org/abs/2408.15925
Explicit Folded Reed-Solomon and Multiplicity Codes Achieve Relaxed Generalized Singleton Bounds
In this paper, we prove that explicit FRS codes and multiplicity codes achieve relaxed generalized Singleton bounds for list size $L\ge1.$ Specifically, we show the following: (1) FRS code of length $...
arxiv.org
kasperglarsen.bsky.social
Very honored and grateful for this recognition by the TCS community ❤️
csaudk.bsky.social
Professor @kasperglarsen.bsky.social has been named 𝐄𝐀𝐓𝐂𝐒 𝐅𝐞𝐥𝐥𝐨𝐰 2025 by European Association for Theoretical Computer Science for his outstanding contributions to theoretical computer science 🎉 He will be inducted at the ICALP 2025 conference in Aarhus, this summer. Congrats, Kasper! 👏
kasperglarsen.bsky.social
Thanks so much Anupam 🙏
Reposted by Kasper Green Larsen
focs2025.bsky.social
The submission server for #FOCS2025 is now open! Submit your work: focs25.hotcrp.com
FOCS25
focs25.hotcrp.com
kasperglarsen.bsky.social
STOC 2025 (June 23-27, Prague) Theory Fest is looking for workshop proposals! Deadline March 9, so please hurry and submit your great proposals and please repost!

Link: stoc2025theoryfest.netlify.app
Vite + React + TS
stoc2025theoryfest.netlify.app
Reposted by Kasper Green Larsen
focs2025.bsky.social
Please nominate candidates to the 🏆 Knuth Prize, to be awarded this year during #STOC2025!

The prize recognizes "major research accomplishments and contributions to the foundations of Computer Science over an extended period of time."

⏰ Deadline: March 31

www.sigact.org/prizes/knuth... #TCSSky
ACM SIGACT - Knuth Prize
www.sigact.org
kasperglarsen.bsky.social
An almost tight understanding of AdaBoost's generalisation, a proof that Majority-of-3-AdaBoosts is an optimal weak-to-strong learner in expectation and better margin-generalisation for voting classifiers.

New preprint. And as mentioned yesterday, Mikael is on the job market 😉
kasperglarsen.bsky.social
And Mikael presenting his second student paper at ALT’25 💪