Jan Kapar
- Department: Biometry and Data Management
- Unit: Emmy Noether Junior Research Group: Beyond Prediction - Statistical Inference with Machine Learning
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
Conference proceedings
- Watson DS, Blesch K, Kapar J, Wright MN. Adversarial random forests for density estimation and generative modeling. In: Ruiz F, Dy J, van de Meent J-W, editors. Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023, Valencia, Spain. 2023.
https://proceedings.mlr.press/v206/watson23a/watson23a.pdf
Selected BIPS-Publications
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.