Publications

Journal Articles

1.  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. Accepted in Journal of Artificial Intelligence Research. (PDF )

2. Bustamante, P., Bucarey, V., Labbe, M.,  Marianov, V., & Ordoñez, F (2024) Playing Stackelberg Security Games in Perfect Formulations. Omega DOI: 10.1016/j.omega.2024.103068 (link)

3. 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.

4. Canoy, R., Bucarey, V., Mandi, J. et al. Learn and route: learning implicit preferences for vehicle routing. Constraints (2023). https://doi.org/10.1007/s10601-023-09363-2 (open access)

5. Bucarey, V., Della Vecchia, E., Jean-Marie, A., & Ordoñez, F. (2022) Stationary Strong Stackelberg Equilibrium in Discounted Stochastic Games. IEEE Transactions on Automatic Control. 10.1109/TAC.2022.3220512

6. Jean-Marie, A., Tidball, M., & Bucarey López, V. (2021). The Stackelberg games of water extraction with myopic agents. International Game Theory Review, https://doi.org/10.1142/S0219198921500237 (preprint)

7. Bucarey, V., Labbé, M., Morales, Juan M., & Pineda, S. (2021) An exact dynamic programming approach to segmented isotonic regression. Omega,  doi:https://doi.org/10.1016/j.omega.2021.102516  (PDF) 

8. 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 

9. 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.

10. Bucarey, V., Elloumi, S., Labbé, M., & Plein, F. Models and Algorithms for the Product Pricing with Single-Minded Customers Requesting Bundles. 2020. Computers & Operations Research. https://doi.org/10.1016/j.cor.2020.105139

Book Chapters and Research Reports

1. Bucarey, V., Della Vecchia, E., Jean-Marie, A., & Ordoñez, F.  Stationary Strong Stackelberg Equilibrium in Discounted Stochastic Games. [Research Report] RR-9271, INRIA. 2019, pp.62. ⟨hal-02144095⟩

2. Bucarey, V., Ordoñez, F., & Bassaletti, E. (2015). Shape and Balance in Police Districting. In Applications of Location Analysis (pp. 329-347). Springer International Publishing. (PDF)

Refereed Conference Papers

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.; Davila, S. and 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; pages 341-349. DOI: 10.5220/0012410100003639 

3. Mandi, J., Bucarey, V., Tchomba, M. M. K., & Guns, T. (2022, June). Decision-Focused Learning: Through the Lens of Learning to Rank. In International Conference on Machine Learning (pp. 14935-14947). PMLR. (PDF )

4.  Bucarey, V., Burgos-Mellado, C., Morales-Paredes, H. (2022)  A Non-cooperative Game-theoretic Distributed Control Approach for Power Quality Compensators. 24th European Conference on Power Electronics and Applications.

5.  Mandi, J., Canoy, R., Bucarey, B., & Guns, T. (2021). Data Driven VRP: A Neural Network Model to learn hidden preferences for VRP. 27th International Conference on Principles and Practice of Constraint Programming (PDF)

6.  Mulamba, M., Mandi, J., Diligenti, M., Lombardi, M., Bucarey, V.,  & Guns, T. (2021). Contrastive losses and solution caching for predict-and-optimize  IJCAI 2021. (PDF) 

7.  Bucarey, V., & Labbé, M. Discussion of Fairness and Implementability in Stackelberg Security Games. Decision and Game Theory for Security: 10th International Conference, GameSec 2019. (PDF)

8.  Bucarey V, Casorran C, Figueroa O, Rosas K, Navarrete H, Ordonez F (2017) Building real stackelberg security games for border patrols. Decision and Game Theory for Security: 8th International Conference, GameSec 2017. (PDF)

9.  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).  (PDF)

Preprints Under Review

1. Bucarey, V., González-Blanco, N., Labbé, M., & Mesa, J. A. (2024). On Centdians and Generalized Center in Network Design.

2. Olivares, Marcelo and Yung, Daniel and Bucarey, V. & Christiansen, Matias, Labor Planning and Shift Scheduling in Retail Stores Using Customer Traffic Data (September 18, 2020). Available at SSRN: (PDF)