28.06.2024

MCML at COLT 2024

One Accepted Paper

We are happy to announce that MCML researchers have contributed a total of 1 paper to COLT 2024. Congrats to our researchers!

C. M. Verdun • O. Melnyk • F. Krahmer • P. Jung
Fast, blind, and accurate: Tuning-free sparse regression with global linear convergence.
COLT 2024 - 37th Annual Conference on Learning Theory. Edmonton, Canada, Jun 30-Jul 03, 2024. URL

30.06.2026

MCML Junior Members Featured in BR Abendschau

LMU researchers are putting different large language models head-to-head to find out which one delivers the most accurate predictions.

29.06.2026

Stefan Feuerriegel Featured in Tagesschau

LMU researchers are putting different large language models head-to-head to find out which one delivers the most accurate predictions.

26.06.2026

MCML at COLT 2026

MCML researchers are represented with 1 paper at COLT 2026.

26.06.2026

MCML at WWW 2026

MCML researchers are represented with 1 paper at WWW 2026.

19.06.2026

FIFA World Cup: How Well Can AI Predict Sports Results?

LMU researchers are putting different large language models head-to-head to find out which one delivers the most accurate predictions.

2024-06-28 - Last modified: 2024-06-28