For best experience please turn on javascript and use a modern browser!
You are using a browser that is no longer supported by Microsoft. Please upgrade your browser. The site may not present itself correctly if you continue browsing.

Dr. J. (Jannis) Kurtz

Assistant Professor in Mathematical Methods and Applications in Data Science
Faculty of Economics and Business
Section Business Analytics

Visiting address
  • Plantage Muidergracht 12
Postal address
  • Postbus 15953
    1001 NL Amsterdam
Social media
  • Publications

    2021

    2020

    • Eufinger, L., Kurtz, J., Buchheim, C., & Clausen, U. (2020). A Robust Approach to the Capacitated Vehicle Routing Problem with Uncertain Costs. INFORMS Journal on Optimization, 2(2), 79-95. https://doi.org/10.1287/ijoo.2019.0021
    • Goerigk, M., Kurtz, J., & Poss, M. (2020). Min–max–min robustness for combinatorial problems with discrete budgeted uncertainty. Discrete Applied Mathematics, 285, 707-725. https://doi.org/10.1016/j.dam.2020.07.011
    • Kaemmerling, N., & Kurtz, J. (2020). Oracle-based algorithms for binary two-stage robust optimization. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS, 77(2), 539-569. https://doi.org/10.1007/s10589-020-00207-w

    2019

    • Chassein, A., Goerigk, M., Kurtz, J., & Poss, M. (2019). Faster algorithms for min-max-min robustness for combinatorial problems with budgeted uncertainty. European Journal of Operational Research, 279(2), 308-319. https://doi.org/10.1016/j.ejor.2019.05.045

    2018

    2017

    2016

    • Buchheim, C., & Kurtz, J. (2016). Min-max-min robustness: A new approach to combinatorial optimization under uncertainty based on multiple solutions. Electronic Notes in Discrete Mathematics, 52, 45-52. https://doi.org/10.1016/j.endm.2016.03.007

    2014

    • Kawohl, B., Kroemer, S., & Kurtz, J. (2014). Radial Eigenfunctions for the Game-Theoretic p-Laplacian on a Ball. DIFFERENTIAL AND INTEGRAL EQUATIONS, 27(7-8), 659-670.

    2022

    • Kurtz, J. (2022). Ensemble Methods for Robust Support Vector Machines using Integer Programming. (arXiv preprint arXiv:2203.01606).

    2021

    • Kurtz, J. (2021). New complexity results and algorithms for min-max-min robust combinatorial optimization. (arXiv preprint arXiv:2106.03107).
    • Kurtz, J., & Bah, B. (2021). Efficient and Robust Mixed-Integer Optimization Methods for Training Binarized Deep Neural Networks. (arXiv preprint arXiv:2110.11382).

    2020

    • Bah, B., & Kurtz, J. (2020). An integer programming approach to deep neural networks with binary activation functions. (arXiv preprint arXiv:2007.03326).
    • Goerigk, M., & Kurtz, J. (2020). Data-Driven Robust Optimization using Unsupervised Deep Learning. (arXiv preprint arXiv:2011.09769).
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
  • Ancillary activities
    No ancillary activities