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Hannah Marienwald


Technische Universität Berlin
Machine Learning

Marchstraße 23, 10587 Berlin

Bifold researcher Hannah Marienwald
© Hannah Marienwald

Hannah Marienwald

Doctoral Researcher

Hannah Marienwald is a doctoral researcher under supervision of Prof. Dr. K.-R. Müller and a member of the Bifold Graduate School. Before that, she worked as a research associate at the Institute of Mathematics, Mathematical Statistics and Machine Learning, at Universität Potsdam in cooperation with BZML and the Data Engineering Systems group at the Hasso-Plattner Institute. She obtained her B.Sc. and M.Sc. degree in computer science with strong focus on ML, statistics, and probability theory at the Technische Universität Berlin.

Teaching Experience: 4 years of experience as student teaching assitant of the Machine Learning Group (TU Berlin) for numerous courses.

PhD Title: Theoretical Analysis of Learning Multiple Problems

  • Estimation of multiple means
  • Kernel methods
  • Kernel mean embeddings

Gilles Blanchard, Jean-Baptiste Fermanian, Hannah Marienwald

Estimation of multiple mean vectors in high dimension

March 21, 2024