28.06.2024
MCML at COLT 2024
One Accepted Paper
37th Annual Conference on Learning Theory, Edmonton, Canada, Jun 30-Jul 03, 2024
We are happy to announce that MCML researchers have contributed a total of 1 paper to COLT 2024. Congrats to our researchers!
Main Track (1 paper)
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
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
#research #top-tier-work #krahmer
Related
©Terzo Algeri/Fotoatelier M/ TUM
30.10.2025
Language Shapes Gender Bias in AI Images
Alexander Fraser shows AI image generators reproduce gender stereotypes differently across languages, highlighting the need for fair multilingual AI.
20.10.2025
Björn Ommer Appointed LMU Chief AI Officer
Our PI Björn Ommer has been appointed LMU’s Chief AI Officer to strengthen AI research and collaborations.
17.10.2025
MCML at ICCV 2025
MCML researchers are represented with 28 papers at ICCV 2025 (22 Main, and 6 Workshops).