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Dr. J. (Jannis) Kurtz

Faculteit Economie en Bedrijfskunde
Sectie Business Analytics

  • Plantage Muidergracht 12
  • Postbus 15953
    1001 NL Amsterdam
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  • Publicaties



    • 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


    • 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




    • 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


    • 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.


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


    • 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).


    • 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.
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