Hannah Marienwald is a doctoral researcher in the Machine Learning group at TU Berlin. In her research she combines her knowledge on high-dimensional statistics and kernel methods and focuses on the estimation of kernel mean embeddings.
Before joining the Machine Learning group, Hannah Marienwald worked as a research associate at the Institute of Mathematics, Mathematical Statistics and Machine Learning, University of 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 at the Technical University of Berlin with strong focus on ML, statistics, probability theory, and econometrics.

Selected publications

• High-Dimensional Multi-Task Averaging and Application to Kernel Mean Embedding [AISTATS 2021]