Paradiso, R., Georghiou, A., Dabia, S. and Tönissen, D. (2025). Exact and Approximate Schemes for Robust Optimization Problems with Decision-Dependent Information Discovery INFORMS Journal on Computing, 37(6):1457--1477.
34 key publications
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Maragno, D., Wiberg, H., Bertsimas, D., Birbil, S., den Hertog, D. and Fajemisin, A. (2025). Mixed-Integer Optimization with Constraint Learning Operations Research, 73(2):1011--1028. -
Correa, J., Cristi, A., Feuilloley, L., Oosterwijk, T. and Tsigonias-Dimitriadis, A. (2025). The Secretary Problem with Independent Sampling Management Science, 71(4):2778--2801. -
Oosterwijk, T., Schmand, D. and Schröder, M. (2024). Bicriteria Nash flows over time Games and Economic Behavior, 147:19--37.
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Kahr, M., Leitner, M. and Ljubic, I. (2024). The Impact of Passive Social Media Viewers in Influence Maximization INFORMS Journal on Computing, 36(6):1362--1381.
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Maragno, D., Kurtz, J., Röber, T., Goedhart, R., Birbil, Ş. and den Hertog, D. (2024). Finding regions of counterfactual explanations via robust optimization INFORMS Journal on Computing, 36(5):1316–1334.
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Vogels, L., Mohammadi, R., Schoonhoven, M. and Birbil, S. (2024). Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison Journal of the American Statistical Association, 119(548):3164--3182. -
Leitner, M., Lodi, A., Roberti, R. and Sole, C. (2024). An Exact Method for (Constrained) Assortment Optimization Problems with Product Costs INFORMS Journal on Computing, 36(2):479--494.
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Julien, E., Postek, K. and Birbil, S. (2024). Machine Learning for K-adaptability in Two-Stage Robust Optimization INFORMS Journal on Computing, :503.
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Peng, Y., Xiao, L., Heidergott, B., Hong, L.Jeff and Lam, H. (2022). A New Likelihood Ratio Method for Training Artificial Neural Networks INFORMS Journal on Computing, 34(1):638--655.
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Karaca, U., Birbil, S.Ilker, Yildirim, S., Aydin, N. and Mullaoglu, G. (2022). Differential Privacy in Multi-Party Resource Sharing Operations Research. -
van den Brink, R., Núñez, M. and Robles, F. (2021). Valuation monotonicity, fairness and stability in assignment problems Journal of Economic Theory, 195:1--27. -
Peng, Y., Fu, MichaelC., Heidergott, B. and Lam, H. (2020). Maximum likelihood estimation by monte carlo simulation: Toward data-driven stochastic modeling Operations Research, 68(6):1896--1912. -
Paradiso, R., Roberti, R., Lagana, D. and Dullaert, W. (2020). An exact solution framework for multitrip vehicle-routing problems with time windows Operations Research, 68(1):180--198. -
Berkhout, J. and Heidergott, BerndF. (2019). Analysis of Markov influence graphs Operations Research, 67(3):892--904. -
Leitner, M., Ljubic, I., Riedler, M. and Ruthmair, M. (2019). Exact Approaches for Network Design Problems with Relays INFORMS Journal on Computing, 31(1):171--192.
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van den Brink, R., He, S. and Huang, J.P. (2018). Polluted river problems and games with a permission structure Games and Economic Behavior, 108:182--205.
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Peng, Y., Fu, MichaelC., Hu, J.Q. and Heidergott, B. (2018). A new unbiased stochastic derivative estimator for discontinuous sample performances with structural parameters Operations Research, 66(2):487--499. -
Leitner, M., Ljubic, I., Luipersbeck, M. and Sinnl, M. (2018). A dual-ascent-based branch-and-bound framework for the prize-collecting Steiner tree and related problems INFORMS Journal on Computing, 30(2):402--420. -
Hoogeboom, M., Battarra, M., Erdoǧan, G. and Vigo, D. (2016). Erratum: Exact Algorithms for the Clustered Vehicle Routing Problem (Operations Research (2014) 62:1 (58-71)) Operations Research, 64(2):456--457.