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ORCIDJannis Kurtz
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- affiliation: University of Amsterdam, The Netherlands
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Journal Articles
- 2024
[j12]Jannis Kurtz
:
Approximation Guarantees for Min-Max-Min Robust Optimization and \({\boldsymbol{k}}\)-Adaptability Under Objective Uncertainty. SIAM J. Optim. 34(2): 2121-2149 (2024)- 2023
- [j11]Marc Goerigk, Jannis Kurtz:
Data-driven robust optimization using deep neural networks. Comput. Oper. Res. 151: 106087 (2023) - 2021
- [j10]Bubacarr Bah, Jannis Kurtz, Oliver Schaudt:
Discrete optimization methods for group model selection in compressed sensing. Math. Program. 190(1): 171-220 (2021) - 2020
- [j9]Nicolas Kämmerling, Jannis Kurtz:
Oracle-based algorithms for binary two-stage robust optimization. Comput. Optim. Appl. 77(2): 539-569 (2020) - [j8]Marc Goerigk, Jannis Kurtz, Michael Poss:
Min-max-min robustness for combinatorial problems with discrete budgeted uncertainty. Discret. Appl. Math. 285: 707-725 (2020) - [j7]Lars Eufinger, Jannis Kurtz, Christoph Buchheim, Uwe Clausen:
A Robust Approach to the Capacitated Vehicle Routing Problem with Uncertain Costs. INFORMS J. Optim. 2(2): 79-95 (2020) - 2019
- [j6]André B. Chassein, Marc Goerigk, Jannis Kurtz, Michael Poss:
Faster algorithms for min-max-min robustness for combinatorial problems with budgeted uncertainty. Eur. J. Oper. Res. 279(2): 308-319 (2019) - 2018
- [j5]Christoph Buchheim, Jannis Kurtz:
Complexity of min-max-min robustness for combinatorial optimization under discrete uncertainty. Discret. Optim. 28: 1-15 (2018) - [j4]Christoph Buchheim, Jannis Kurtz:
Robust combinatorial optimization under convex and discrete cost uncertainty. EURO J. Comput. Optim. 6(3): 211-238 (2018) - [j3]Jannis Kurtz:
Robust combinatorial optimization under budgeted-ellipsoidal uncertainty. EURO J. Comput. Optim. 6(4): 315-337 (2018) - 2017
- [j2]Christoph Buchheim, Jannis Kurtz:
Min-max-min robust combinatorial optimization. Math. Program. 163(1-2): 1-23 (2017) - 2016
- [j1]Christoph Buchheim, Jannis Kurtz:
Min-max-min robustness: a new approach to combinatorial optimization under uncertainty based on multiple solutions. Electron. Notes Discret. Math. 52: 45-52 (2016)
Conference and Workshop Papers
- 2024
- [c1]Justin Dumouchelle, Esther Julien, Jannis Kurtz, Elias Boutros Khalil:
Neur2RO: Neural Two-Stage Robust Optimization. ICLR 2024
Informal and Other Publications
- 2024
- [i12]Justin Dumouchelle, Esther Julien, Jannis Kurtz, Elias B. Khalil:
Neur2BiLO: Neural Bilevel Optimization. CoRR abs/2402.02552 (2024) - [i11]Segev Wasserkrug, Léonard Boussioux, Dick den Hertog, Farzaneh Mirzazadeh, S. Ilker Birbil, Jannis Kurtz, Donato Maragno:
From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto. CoRR abs/2402.16269 (2024) - [i10]Jannis Kurtz, S. Ilker Birbil, Dick den Hertog:
Counterfactual Explanations for Linear Optimization. CoRR abs/2405.15431 (2024) - 2023
- [i9]Donato Maragno, Jannis Kurtz, Tabea E. Röber, Rob Goedhart, S. Ilker Birbil, Dick den Hertog:
Finding Regions of Counterfactual Explanations via Robust Optimization. CoRR abs/2301.11113 (2023) - [i8]Justin Dumouchelle, Esther Julien, Jannis Kurtz, Elias B. Khalil:
Neur2RO: Neural Two-Stage Robust Optimization. CoRR abs/2310.04345 (2023) - 2022
- [i7]Jannis Kurtz:
Ensemble Methods for Robust Support Vector Machines using Integer Programming. CoRR abs/2203.01606 (2022) - [i6]Marc Goerigk, Jannis Kurtz:
Data-driven Prediction of Relevant Scenarios for Robust Optimization. CoRR abs/2203.16642 (2022) - 2021
- [i5]Jannis Kurtz:
New complexity results and algorithms for min-max-min robust combinatorial optimization. CoRR abs/2106.03107 (2021) - [i4]Jannis Kurtz, Bubacarr Bah:
Efficient and Robust Mixed-Integer Optimization Methods for Training Binarized Deep Neural Networks. CoRR abs/2110.11382 (2021) - 2020
- [i3]Bubacarr Bah, Jannis Kurtz:
An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions. CoRR abs/2007.03326 (2020) - [i2]Marc Goerigk, Jannis Kurtz:
Data-Driven Robust Optimization using Unsupervised Deep Learning. CoRR abs/2011.09769 (2020) - 2019
- [i1]Bubacarr Bah, Jannis Kurtz, Oliver Schaudt:
Discrete Optimization Methods for Group Model Selection in Compressed Sensing. CoRR abs/1904.01542 (2019)
Coauthor Index
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