Jan Kapar
- Department: Statistical Methods in Epidemiology
- Unit: Emmy Noether Junior Research Group: Beyond Prediction - Statistical Inference
Education
Work Experience
- 2023: Research stay (5 months), Department of Human Health and Nutritional Sciences, University of Guelph
- since 2022: Doctoral Student Machine Learning, Faculty for Mathematics and Computer Science, Universität Bremen
- 2014 - 2015: Exchange Semester, Università degli Studi di Padova
- 2013 - 2016: M.Sc. Business Mathematics, Julius-Maxmilians-Universität Würzburg
- 2011 - 2013: B.Sc. Mathematics, Julius-Maxmilians-Universität Würzburg
Work Experience
- since 02/22: Doctoral Research Fellow, Leibniz BIPS
- 03/2017 - 01/2022: Consultant, Accenture GmbH
- 06/2016 - 09/2016: Intern, Accenture GmbH
- 11/2015 - 03/2016: Intern, DAIMLER AG
- 04/2013 - 07/2013: Student Assistant, Department of Mathematics, Julius-Maximilians-Universität Würzburg
Selected BIPS-Publications
Conference proceedings
- Blesch K, Koenen N, Kapar J, Golchian P, Burk L, Loecher M, Wright MN. Conditional feature importance with generative modeling using adversarial random forests. Washington, D.C.. 2025.
https://doi.org/10.1609/aaai.v39i15.33712 - Dandl S, Blesch K, Freiesleben T, König G, Kapar J, Bischl B, Wright MN. CountARFactuals -- Generating plausible model-agnostic counterfactual explanations with adversarial random forests. Cham. 2024.
https://doi.org/10.1007/978-3-031-63800-8_5 - Watson DS, Blesch K, Kapar J, Wright MN. Adversarial random forests for density estimation and generative modeling. 2023.
https://proceedings.mlr.press/v206/watson23a.html
For further publications please follow this link:
- Winter 2022/2023: Biometrical Methods (Tutorial)
The responsibility for the content of this page lies with Jan Kapar.