17.07.2020
MCML at ICML 2020
Two Accepted Papers (2 Workshops)
37th International Conference on Machine Learning, Virtual, Jul 18, 2020
We are happy to announce that MCML researchers have contributed a total of 2 papers to ICML 2020: 2 Workshop papers. Congrats to our researchers!
Workshops (2 papers)
M. Binder • F. Pfisterer • B. Bischl
Collecting empirical data about hyperparameters for data driven AutoML.
AutoML @ICML 2020 - 7th Workshop on Automated Machine Learning at the 37th International Conference on Machine Learning. Virtual, Jul 18, 2020. PDF
Collecting empirical data about hyperparameters for data driven AutoML.
AutoML @ICML 2020 - 7th Workshop on Automated Machine Learning at the 37th International Conference on Machine Learning. Virtual, Jul 18, 2020. PDF
C. Molnar • G. König • J. Herbinger • T. Freiesleben • S. Dandl • C. A. Scholbeck • G. Casalicchio • M. Grosse-Wentrup • B. Bischl
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models.
XXAI @ICML 2020 - Workshop on Extending Explainable AI Beyond Deep Models and Classifiers at the 37th International Conference on Machine Learning. Virtual, Jul 12-18, 2020. DOI
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models.
XXAI @ICML 2020 - Workshop on Extending Explainable AI Beyond Deep Models and Classifiers at the 37th International Conference on Machine Learning. Virtual, Jul 12-18, 2020. DOI
Related
20.03.2026
MCML Reaches H-Index of 100
MCML reaches an h-index of 100, marking a milestone achieved through years of collaboration with LMU Munich, TUM, and research partners worldwide.
19.03.2026
Teaching Models to Say ‘I’m Not Sure’
Unified diffusion theory for images and text, bridging continuous and discrete models in one clear framework for generative AI.
12.03.2026
Frauke Kreuter becomes AAAS Fellow
MCML PI Frauke Kreuter has been elected a Fellow of the American Association for the Advancement of Science (AAAS).