Our paper “Prediction error bounds for linear regression with the TREX” has now been published in Test.
Author Archives: LedererLab
Graphical Models for Various Data Types
Tuning parameter calibration for logistic regression
Our paper on tuning parameter calibration for logistic regression is now published here.
Oracle inequalities for high-dimensional prediction
Our paper on oracle inequalities is now published in Bernoulli 2019, Vol. 25, No. 2, 1225-1255. The weblink is here.
Team Updates
Our RUB-team has gained a number of new members over the last months. We welcome the post-doctoral researcher Fang Xie (University of Macau, China), the PhD students Yannick Düren (RTWH Aachen), Shih-Ting Huang (Temple University, USA/National Taipei University, Taiwan), and Mahsa Taheri (Esfahan University of Technology, Iran), and the Master’s student Mike Laszkiewicz (RUB)!
High-dimensional Logistic Regression With Guarantees
Our paper “Tuning parameter calibration for l1-regularized logistic regression” has been accepted at JSPI. Congratulations Wei! 🤠
Bronze Medal at Datathon
Together with her team, Rui has achieved third place at the first Citadel Datathon at UW this weekend. Congratulations!
