Jakob Weissteiner

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Jakob Weissteiner
Ph.D. Student
Department of Informatics
University of Zurich
Binzmühlestrasse 14
CH-8050 Zürich
Room BIN 2.B.03
Tel +41 44 635 43 32
Email weissteiner@ifi.uzh.ch

Short Bio

Since February 2019, Jakob is a Ph.D. student advised by Prof. Sven Seuken in the Computation and Economics Research Group at the Department of Informatics of the University of Zurich. Jakob received a B.Sc. (2015) and a M.Sc. (2018) in Financial and Actuarial Mathematics from the Technical University of Vienna. Additionally he received a M.Sc. (2018) in Quantitative Finance from the Vienna University of Economics and Business. Besides his studies, Jakob worked in the Advanced Analytics team of the Raiffeisen Bank International in Vienna. Currently, he is a board member of the  Club Alpbach Zürich.

Research Interests

Machine Learning, Deep Learning, Combinatorial Auctions, Financial Mathematics.

Working Papers

  1. NOMU:Neural Optimization-based Model Uncertainty
    Jakob Weissteiner*, Hanna Wutte*, Jakob Heiss*, Sven Seuken, and Josef Teichmann
    arXiv preprint  [pdf] [code]
  2. Fourier Analysis-based Iterative Combinatorial Auctions.
    Jakob Weissteiner, Chris Wendler, Sven Seuken, Ben Lubin, and Markus Püschel.
    arXiv preprint  [pdf]

*equal contribution

Publications

  1. Deep Learning-powered Iterative Combinatorial Auctions. 
    Jakob Weissteiner and Sven Seuken.
    In Proceedings of the Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, NY, February 2020.
    Working paper version from Oct 2020: [pdf] [code]

Theses

  1. Variable importance measures in classification and regression methods. 
    Jakob Weissteiner. Master's Thesis. Vienna University of Economics and Business, Austria, Sep 2018. [pdf] (PDF, 1 MB)
  2. Über die Orderbuchmodellierung mit Markovschen Ketten in stetiger Zeit.
    Jakob Weissteiner. Master's Thesis. Technical University of Vienna, Austria, Jan 2018. [pdf] (PDF, 2 MB)

Curriculum Vitae

Teaching

2021: Head teaching assistant for lecture Market Design and Machine Learning 
          Head teaching assistant for lecture Seminar: Advanced Topics in Economics and Computation

2020: Head teaching assistant for lecture Seminar: Advanced Topics in Economics and Computation

2019: Teaching assistant for lecture Economics and Computation
          Head teaching assistant for Seminar: Advanced Topics in Economics and Computation.

2018: Teaching assistant for lecture Economics and Computation
          Teaching assistant for lecture Mathematics II, Vienna University of Economics and Business.

2017: Teaching assistant for lecture Probability Theory, Vienna University of Economics and Business.

2016: Teaching assistant for lecture Risk Management in Finance and Insurance, Technical University of Vienna.

Advised Theses

  • Bayesian Optimization with Neural Networks
    Master Thesis by Marius Högger, Fall 2020