SMALE - Statistics and Machine Learning

Welcome to the research group Statistics and Machine Learning. Our main research areas are:

  • Privacy aware data analysis
  • High-dimensional statistics and model selection
  • Uncertainty quantification in statistical learning
  • Computational vs. statistical efficiency

 News and Events

  • 01/25/2023: New preprint on "Efficiency in local differential privacy" on arXiv.
  • Tom and Nico went to the 1st Workshop for young researchers of the Research Unit 5381 at the Erwin Schrödinger-Zentrum in Berlin on January 12 and 13, 2023.
  • Lukas gave a guest lecture on "Statistics of Differential Privacy" at CREST/ENSAE, November 7-17, 2022.
  • Lukas spent one week at the MFO Oberwolfach together with Cristina Butucea and Angelika Rohde as part of the Research in Pairs programm in February 20-26, 2022.
  • Thomas Stark was hired as PhD student on the FWF Project I 5484-N `Classification -- Preprocessed and high-dimensional data' in October 2021.