Christian Alexander Scholbeck

About

I am jointly affiliated with the working group Methods for Missing Data, Model Selection and Model Averaging and the working group Computational Statistics at the Department of Statistics at Ludwigs-Maximilians-University Munich. My research focuses on interpretable machine learning.

Contact

Institut für Statistik

Ludwig-Maximilians-Universität München

Ludwigstraße 33

D-80539 München

Room 459, 4th floor

Phone: +49 89 2180 2925

christian.scholbeck [at] stat.uni-muenchen.de

Research interests

You can find me on

References

  1. Scholbeck CA, Molnar C, Heumann C, Bischl B, Casalicchio G (2019) Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic Interpretations. arXiv preprint arXiv:1904.03959. arXiv:1904.03959.