The published version of our paper “DeepMoM: Robust Deep Learning With Median-of-Means” is now accessible online
here.
Two new researchers on the team
We have two new researchers on our team: Somnath Chakraborty joins us as a post-doctoral researcher, and Ayşe Çobankaya will join us as a PhD student. Welcome! 🤩
Canadian Journal of Statistics
Johannes has joined the editorial board of the Canadian Journal of Statistics. Find the journal’s website here.
Paper Accepted at JCGS
Our paper “DeepMoM: Robust Deep Learning With Median-of-Means” has been accepted at the Journal of Computational and Graphical Statistics. Awesome job, Shih-Ting! 🕺🕺
Shih-Ting passed final exams
Shih-Ting Huang passed his doctoral exam, earning his doctorate from Ruhr-University Bochum. Congratulations! 🎓
Paper Accepted at ICML
Our paper “Copula-Based Normalizing Flows” has been accepted at ICML. Cheers, Mike and Asja! 🥂
Approximate Stationary Points of Simple Neural Networks
Our new paper “Statistical Guarantees for Approximate Stationary Points of Simple Neural Networks” is now online. Well done, Mahsa and Fang! 🎉🎉
Grant Awarded
Our grant proposal Statistical Theories for Sparse Deep Learning was selected for funding by the German Research Foundation. Thank you! We are looking forward to working on an exciting topic! 🎬
Graphical Models With the TREX
Our paper “Topology Adaptive Graph Estimation in High Dimensions” is now accepted and published in Mathematics here. Cheers, Christian! 🍺
New Paper on Variable Clustering
We have a new paper “VC-PCR: a prediction method based on supervised variable selection and clustering” about variable clustering in transcriptomics and in general. Great work especially from Rebecca, who just defended her PhD, and from Rainer and Bernadette, the two other members of our Belgian🇧🇪-American🇺🇸-German🇩🇪 tag team!
Johannes Lederer 