Chris Kolb

About

I am a PhD student at the Chair of Statistical Learning and Data Science (SLDS) in the Department of Statistics at the LMU Munich since April 2021. Prior to that, I obtained a Bachelor's degree (B.Sc.) in Economics from Goethe University Frankfurt and a Master's degree (M.Sc.) in Statistics from Humboldt University Berlin.

My main research focus is on the amalgamation of statistics and machine learning concepts. At the moment, I work on combining structured additive regression models and deep neural networks.

Contact

Institut für Statistik

Ludwig-Maximilians-Universität München

Ludwigstraße 33

D-80539 München

chris.kolb [at] stat.uni-muenchen.de

Research Interests

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References

  1. Rügamer D, Shen R, Bukas C et al. (2021) deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression. arXiv:2104.02705 [stat].
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  2. Rügamer D, Kolb C, Klein N (2020) A Unified Network Architecture for Semi-Structured Deep Distributional Regression. arXiv:2002.05777 [cs, stat].
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