17.08.2018
MCML at KDD 2018
One Accepted Paper
24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, UK, Aug 19-23, 2018
We are happy to announce that MCML researchers have contributed a total of 1 paper to KDD 2018. Congrats to our researchers!
Main Track (1 paper)
D. Mautz • W. Ye • C. Plant • C. Böhm
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces.
KDD 2018 - 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. London, UK, Aug 19-23, 2018. DOI
Discovering Non-Redundant K-means Clusterings in Optimal Subspaces.
KDD 2018 - 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. London, UK, Aug 19-23, 2018. DOI
Related
29.10.2026
Teaching Language Models to Express Uncertainty
An ICLR 2026 paper shows how reinforcement learning improves confidence estimates from language models.
27.10.2026
Runner-Up Prize at AutoML 2026 for Tabular-DC-Bench
Tabular-DC-Bench, by MCML Junior Member Mamdouh Aljoud and MCML Director Thomas Seidl, among others, won a runner-up prize at AutoML 2026.
27.10.2026
Welcoming Ewa Szczurek to MCML
Ewa Szczurek joins MCML as Professor of AI in Life Sciences at LMU, focusing on probabilistic and generative models for medicine.