Nonlinear Causal Discovery for Grouped Data
Göbler, K., Windisch, T., Drton, M. (2025). Nonlinear Causal Discovery for Grouped Data. URL:https://arxiv.org/abs/2506.05120
CV
Education
- currently: Ph.D. in Mathematical Statistics, Technical University of Munich, since 2020
- M.Sc. Statistics, Humboldt University of Berlin, 2020
- M.Sc. Economics (Math Major), Vienna University of Economics and Business, 2019
- B.Sc. Economics, University of Heidelberg, 2016
- B.A. Sociology, University of Heidelberg, 2015
Work experience
- Fall 2018 – 2020: Student Researcher, Berlin
- German Institute for Economic Research (DIW)
- Duties include: Writing papers, writing code, and performing data analyses.
- Supervisor: Carsten Schröder
- Fall 2017 – 2019: Student Researcher, Vienna
- Institute for Economic Inequality
- Duties included: Writing papers, writing code, and performing data analyses.
- Supervisor: Stefan Humer
- Summer 2014 - 2015: Student Researcher, Heidelberg
- University of Heidelberg
- Duties included: Research aid
- Supervisor: Markus Pohlmann
Software Skills
- Python
- R
- Rust
- Stata
Publications
High-Dimensional Undirected Graphical Models for Arbitrary Mixed Data
Konstantin Göbler, Mathias Drton, Sach Mukherjee, Anne Miloschewski "High-dimensional undirected graphical models for arbitrary mixed data," Electronic Journal of Statistics, Electron. J. Statist. 18(1), 2339-2404, (2024)
causalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery
Göbler, K., Windisch, T., Drton, M., Pychynski, T., Roth, M. & Sonntag, S.. (2024). causalAssembly: Generating Realistic Production Data for Benchmarking Causal Discovery. Proceedings of the Third Conference on Causal Learning and Reasoning, in Proceedings of Machine Learning Research 236:609-642 Available from https://proceedings.mlr.press/v236/gobler24a.html.
Talks
Talk at the 2025 conference of the Deutsche Arbeitsgemeinschaft Statistik (DAGStat)
Conference proceedings talk at 2025 DAGStat, Humboldt-Universität zu Berlin, Unter den Linden 6, 10099 Berlin
Spotlight talk at CLeaR conference
Conference proceedings talk at Causal Learning and Reasoning (CLeaR), UC Los Angeles, California