Min-max-min robustness: a new approach to combinatorial optimization under uncertainty based on multiple solutions. - Christoph Buchheim; Jannis Kurtz (Electron. Notes Discret. Math., 2016)

Min-max-min robust combinatorial optimization. - Christoph Buchheim; Jannis Kurtz (Math. Program., 2017)

Complexity of min-max-min robustness for combinatorial optimization under discrete uncertainty. - Christoph Buchheim; Jannis Kurtz (Discret. Optim., 2018)

Robust combinatorial optimization under convex and discrete cost uncertainty. - Christoph Buchheim; Jannis Kurtz (EURO J. Comput. Optim., 2018)

Robust combinatorial optimization under budgeted-ellipsoidal uncertainty. - Jannis Kurtz (EURO J. Comput. Optim., 2018)

Faster algorithms for min-max-min robustness for combinatorial problems with budgeted uncertainty. - André B. Chassein; Marc Goerigk; Jannis Kurtz; Michael Poss (Eur. J. Oper. Res., 2019)

Oracle-based algorithms for binary two-stage robust optimization. - Nicolas Kämmerling; Jannis Kurtz (Comput. Optim. Appl., 2020)

An Integer Programming Approach to Deep Neural Networks with Binary Activation Functions. - Bubacarr Bah; Jannis Kurtz (CoRR, 2020)

Data-Driven Robust Optimization using Unsupervised Deep Learning. - Marc Goerigk; Jannis Kurtz (CoRR, 2020)

Min-max-min robustness for combinatorial problems with discrete budgeted uncertainty. - Marc Goerigk; Jannis Kurtz; Michael Poss (Discret. Appl. Math., 2020)

A Robust Approach to the Capacitated Vehicle Routing Problem with Uncertain Costs. - Lars Eufinger; Jannis Kurtz; Christoph Buchheim; Uwe Clausen (INFORMS J. Optim., 2020)

New complexity results and algorithms for min-max-min robust combinatorial optimization. - Jannis Kurtz (CoRR, 2021)

Efficient and Robust Mixed-Integer Optimization Methods for Training Binarized Deep Neural Networks. - Jannis Kurtz; Bubacarr Bah (CoRR, 2021)

Discrete optimization methods for group model selection in compressed sensing. - Bubacarr Bah; Jannis Kurtz; Oliver Schaudt (Math. Program., 2021)

Ensemble Methods for Robust Support Vector Machines using Integer Programming. - Jannis Kurtz (CoRR, 2022)

Data-driven Prediction of Relevant Scenarios for Robust Optimization. - Marc Goerigk; Jannis Kurtz (CoRR, 2022)

Data-driven robust optimization using deep neural networks. - Marc Goerigk; Jannis Kurtz (Comput. Oper. Res., 2023)

Neur2RO: Neural Two-Stage Robust Optimization. - Justin Dumouchelle; Esther Julien; Jannis Kurtz; Elias Boutros Khalil (ICLR, 2024)

Neur2BiLO: Neural Bilevel Optimization. - Justin Dumouchelle; Esther Julien; Jannis Kurtz; Elias B. Khalil (NeurIPS, 2024)

From Large Language Models and Optimization to Decision Optimization CoPilot: A Research Manifesto. - Segev Wasserkrug; Léonard Boussioux; Dick den Hertog; Farzaneh Mirzazadeh; S. Ilker Birbil; Jannis Kurtz; Donato Maragno (CoRR, 2024)

Counterfactual Explanations for Linear Optimization. - Jannis Kurtz; S. Ilker Birbil; Dick den Hertog (CoRR, 2024)

Finding Regions of Counterfactual Explanations via Robust Optimization. - Donato Maragno; Jannis Kurtz; Tabea E. Röber; Rob Goedhart; S. Ilker Birbil; Dick den Hertog (INFORMS J. Comput., 2024)

Approximation Guarantees for Min-Max-Min Robust Optimization and ({ boldsymbol{k}} )-Adaptability Under Objective Uncertainty. - Jannis Kurtz (SIAM J. Optim., 2024)

Enhancing Decision Making Through the Integration of Large Language Models and Operations Research Optimization. - Segev Wasserkrug; Léonard Boussioux; Dick den Hertog; Farzaneh Mirzazadeh; S. Ilker Birbil; Jannis Kurtz; Donato Maragno (AAAI, 2025)

Data-driven prediction of relevant scenarios for robust combinatorial optimization. - Marc Goerigk; Jannis Kurtz (Comput. Oper. Res., 2025)

Connections between Robust and Bilevel Optimization. - Marc Goerigk; Jannis Kurtz; Martin Schmidt 003; Johannes Thürauf (Open J. Math. Optim., 2025)

Coherent Local Explanations for Mathematical Optimization. - Daan Otto; Jannis Kurtz; S. Ilker Birbil (CoRR, 2025)