Janek Thomas


I am a PhD student at the Department of Statistics at the Ludwig-Maximilians-University Munich (LMU) for the working group Computational Statistics. I have a Bachelor's Degree (B.Sc.) in Statistics with a minor in Computer Science and continued with a Master's Degree (M.Sc) in Statistics here at the LMU.

You can find some more information about me on my personal website.


Institut für Statistik

Ludwig-Maximilians-Universität München

Ludwigstraße 33

D-80539 München

Raum L344

+49 89 2180 3196

Janek.Thomas [at] stat.uni-muenchen.de

Research Interests

You Can Find me on


Journal Articles

[2] J. Thomas, A. Mayr, B. Bischl, M. Schmid, A. Smith, and B. Hofner. Gradient boosting for distributional regression: faster tuning and improved variable selection via noncyclical updates. Statistics and Computing, pages 1–15, 2017. [ bib | DOI | .pdf | http ]
[1] J. Thomas, T. Hepp, A. Mayr, and B. Bischl. Probing for sparse and fast variable selection with model-based boosting. 2017. [ bib | .pdf | http ]

Conference Articles (Peer Reviewed)

[2] H. Kotthaus, J. Richter, A. Lang, J. Thomas, B. Bischl, P. Marwedel, J. Rahnenf"uhrer, and M. Lang. Rambo: Resource-aware model-based optimization with scheduling for heterogeneous runtimes and a comparison with asynchronous model-based optimization. In International Conference on Learning and Intelligent Optimization, pages 180–195. Springer, 2017. [ bib ]
[1] M. Rietzler, F. Geiselhart, J. Thomas, and E. Rukzio. Fusionkit: a generic toolkit for skeleton, marker and rigid-body tracking. In Proceedings of the 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, pages 73–84. ACM, 2016. [ bib ]

Technical Reports (Not Peer Reviewed)

[2] B. Bischl, J. Richter, J. Bossek, D. Horn, J. Thomas, and M. Lang. mlrmbo: A modular framework for model-based optimization of expensive black-box functions. arXiv preprint arXiv:1703.03373, 2017. [ bib | http ]
[1] J. Schiffner, B. Bischl, M. Lang, J. Richter, Z. M. Jones, P. Probst, F. Pfisterer, M. Gallo, D. Kirchhoff, T. Kühn, J. Thomas, and L. Kotthoff. mlr tutorial, 2016. [ bib | arXiv | .pdf ]