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Alexander Marx

Max-Planck-Institut für Informatik
Department 5: Databases and Information Systems
Exploratory Data Analysis
 office: Campus E1 7, Room 3.03
Saarland Informatics Campus
66123 Saarbrücken
Germany
 email: Get my email address via email
 phone: +49 681 302 70794
 links: rsgrsg

Research Interests

    I am broadly interested in developing theory and algorithms to reason about causal relationships. From the basic case of inferring the causal direction between two variables X and Y to the inference of a complete causal network.

Publications

  • In press: Marx A and Vreeken J, Telling Cause from Effect by Local and Global Regression, In: Knowledge and Information Systems (KAIS) Journal
  • In press: Marx A and Vreeken J, Causal Inference on Multivariate and Mixed-Type Data, In: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Data (ECMLPKDD), Springer, 2018, (acceptance rate: 26%), (code), (slides)
  • Marx A and Vreeken J, Telling Cause from Effect using MDL-based Local and Global Regression, In: Proceedings of the IEEE International Conference on Data Mining (ICDM), IEEE, 2017, (acceptance rate full paper: 9.25%), (invited for the KAIS Special Issue on the Best of IEEE ICDM 2017), (code), (slides)
  • Marx A, Backes C, Meese E, Lenhof HP and Keller A, EDISON-WMW: Exact Dynamic Programing Solution of the Wilcoxon-Mann-Whitney Test, In: Genomics, Proteomics & Bioinformatics, 2016, (online tool)
Preprint

Teaching

  • Teaching Assistant for the course Information Retrieval and Data Mining WS17/18
  • Teaching Assistant for the course Programming 2 SS13

Education