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
  • Predictive inference
  • Computational vs. statistical efficiency

 News and Events

  • Lukas spent two weeks at ENSAE/CREST to give a guest lecture on `Statistics of Differential Privacy', November 6-17, 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.