Publications

Journal Articles

  1. Bustamante, P., Bucarey, V., Labbé, M., Marianov, V., & Ordoñez, F. (2025). Novel valid inequalities and branch-and-price for Stackelberg Security Games. Computers & Operations Research. https://doi.org/10.1016/j.cor.2025.107122
  2. Bucarey, V., González-Blanco, N., Labbé, M., & Mesa, J. A. (2025). On λ-cent-dians and generalized-center for network design: formulations and algorithms. Annals of Operations Research (Accepted).
  3. Bucarey, V., González-Blanco, N., Labbé, M., & Mesa, J. A. (2025). On λ-cent-dians and generalized-center for network design: definitions and properties. Annals of Operations Research. https://doi.org/10.1007/s10479-025-06536-5
  4. Mandi, J., Kotary, J., Berden, S., Mulamba, M., Bucarey, V., Guns, T., & Fioretto, F. (2024). Decision-focused learning: Foundations, state of the art, benchmark and future opportunities. Journal of Artificial Intelligence Research, 80, 1623–1701. (Open access article: (link))
  5. Bustamante, P., Bucarey, V., Labbé, M., Marianov, V., & Ordoñez, F. (2024). Playing Stackelberg Security Games in Perfect Formulations. Omega. https://doi.org/10.1016/j.omega.2024.103068
  6. Canoy, R., Bucarey, V., Mandi, J., Mulamba, M., Molenbruch, Y., & Guns, T. (2024). Probability estimation and structured output prediction for learning preferences in last mile delivery. Computers & Industrial Engineering, 109932. (Preprint: arXiv:2201.10269)
  7. Canoy, R., Bucarey, V., Mandi, J., & Guns, T. (2023). Learn and route: learning implicit preferences for vehicle routing. Constraints, 28, 363–396. https://doi.org/10.1007/s10601-023-09363-2
  8. Bucarey, V., Della Vecchia, E., Jean-Marie, A., & Ordoñez, F. (2022). Stationary Strong Stackelberg Equilibrium in Discounted Games. IEEE Transactions on Automatic Control. https://doi.org/10.1109/TAC.2022.3220512
  9. Jean-Marie, A., Tidball, M., & Bucarey, V. (2021). The Stackelberg games of water extraction with myopic agents. International Game Theory Review. https://doi.org/10.1142/S0219198921500237
  10. Bucarey, V., Casorrán, C., Labbé, M., Ordoñez, F., & Figueroa, O. (2021). Coordinating resources in Stackelberg security games. European Journal of Operational Research, 291(3), 846–861.
  11. Bucarey, V., Labbé, M., Morales, J. M., & Pineda, S. (2021). An exact dynamic programming approach to segmented isotonic regression. Omega. https://doi.org/10.1016/j.omega.2021.102516
  12. Bucarey, V., Fortz, B., González-Blanco, N., Labbé, M., & Mesa, J. A. (2021). Benders decomposition for Network Design Covering Problems. Computers & Operations Research. https://doi.org/10.1016/j.cor.2021.105417
  13. Bucarey, V., Elloumi, S., Labbé, M., & Plein, F. (2020). Models and Algorithms for the Product Pricing with Single-Minded Customers Requesting Bundles. Computers & Operations Research. https://doi.org/10.1016/j.cor.2020.105139
  14. Bucarey, V., Ordoñez, F., & Bassaletti, E. (2015). Shape and Balance in Police Districting. In Applications of Location Analysis (pp. 329–347). Springer International Publishing.

Full list: Google Scholar

Peer-reviewed proceedings

  1. Bucarey, V., Calderón, S., Muñoz, G., & Semet, F. (2024). Decision-focused predictions via pessimistic bilevel optimization: a computational study. CPAIOR 2024.
  2. Castillo, P., Bucarey, V., Dávila, S., & Quezada, F. (2024). Balancing Resources and Demand: A Bi-Objective Mixed-Integer Programming Approach of Healthcare Districts in Chile. In Proceedings of the 13th International Conference on Operations Research and Enterprise Systems (ICORES), pp. 341–349. DOI: 10.5220/0012410100003639
  3. Mandi, J., Bucarey, V., Tchomba, M. M. K., & Guns, T. (2022). Decision-Focused Learning: Through the Lens of Learning to Rank. In Proceedings of the 39th International Conference on Machine Learning (ICML), PMLR 162, pp. 14935–14947.
  4. Mandi, J., Canoy, R., Bucarey, V., & Guns, T. (2021). Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP. In 27th International Conference on Principles and Practice of Constraint Programming (CP 2021).
  5. Mulamba, M., Mandi, J., Diligenti, M., Lombardi, M., Bucarey, V., & Guns, T. (2021). Contrastive Losses and Solution Caching for Predict-and-Optimize. In 30th International Joint Conference on Artificial Intelligence (IJCAI-21), pp. 2833–2840.
  6. Bucarey, V., & Labbé, M. (2019). Discussion of Fairness and Implementability in Stackelberg Security Games. Decision and Game Theory for Security: 10th International Conference (GameSec 2019).
  7. Bucarey, V., Casorrán, C., Figueroa, O., Rosas, K., Navarrete, H., & Ordoñez, F. (2017). Building Real Stackelberg Security Games for Border Patrols. Decision and Game Theory for Security: 8th International Conference (GameSec 2017).
  8. Zhang, C., Bucarey, V., Mukhopadhyay, A., Sinha, A., Qian, Y., Vorobeychik, Y., & Tambe, M. (2016). Using Abstractions to Solve Opportunistic Crime Security Games at Scale. In Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016).