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M.Sc. Jakob Richter

Statistische Methoden in der Genetik und Chemometrie


Jakob Richter
Room E 12a
+49 231 755 - 8053
Fakultät Statistik
Technische Universität Dortmund
44221 Dortmund

Research Interests:

  • Machine Learning
  • Hyperparameter Optimization
  • Black-Box Optimization, Model-based Optimization
  • Large Scale Data


Software Projects:



  • Bachlor Thesis: Analysis of Location Based Data on Street Level on the Example of Traffic Accidents in London
  • Master Thesis: Model-Based Hyper-Parameter Tuning for Large Scale Learning Problems


  • 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 e-prints, March 2017.
  • Helena Kotthaus, Jakob Richter, Andreas Lang, Janek Thomas, Bernd Bischl, Peter Marwedel, Jörg Rahnenführer and Michel Lang. RAMBO: Resource-Aware Model-Based Optimization with Scheduling for Heterogeneous Runtimes and a Comparison with Asynchronous Model-Based Optimization. In Proceedings of the 11th International Conference: Learning and Intelligent Optimization (LION 11) (accepted for publication).. Lecture Notes in Computer Science, Springer, 2017.
  • Bernd Bischl, Michel Lang, Lars Kotthoff, Julia Schiffner, Jakob Richter, Erich Studerus, Giuseppe Casalicchio and Zachary M. Jones. Mlr: Machine Learning in R. Journal of Machine Learning Research, vol. 17 no. 170, pages 1-5, 2016.
  • Jakob Richter, Helena Kotthaus, Bernd Bischl, Peter Marwedel, Jörg Rahnenführer and Michel Lang. Faster Model-Based Optimization Through Resource-Aware Scheduling Strategies. In Learning and Intelligent Optimization, pages 267-273. Springer, Cham, May 2016. [DOI]