Using Abstractions to Solve Opportunistic Crime Security Games at Scale. - Chao Zhang 049; Victor Bucarey; Ayan Mukhopadhyay; Arunesh Sinha; Yundi Qian; Yevgeniy Vorobeychik; Milind Tambe (AAMAS, 2016)

Building Real Stackelberg Security Games for Border Patrols. - Victor Bucarey; Carlos Casorrán; Óscar Figueroa; Karla Rosas; Hugo F. Navarrete; Fernando Ordóñez (GameSec, 2017)

Discussion of Fairness and Implementability in Stackelberg Security Games. - Victor Bucarey; Martine Labbé (GameSec, 2019)

Discrete solution pools and noise-contrastive estimation for predict-and-optimize. - Maxime Mulamba; Jayanta Mandi; Michelangelo Diligenti; Michele Lombardi 001; Victor Bucarey; Tias Guns (CoRR, 2020)

Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP. - Jayanta Mandi; Rocsildes Canoy; Víctor Bucarey; Tias Guns (CP, 2021)

Contrastive Losses and Solution Caching for Predict-and-Optimize. - Maxime Mulamba; Jayanta Mandi; Michelangelo Diligenti; Michele Lombardi 001; Victor Bucarey; Tias Guns (IJCAI, 2021)

Models and algorithms for the product pricing with single-minded customers requesting bundles. - Victor Bucarey; Sourour Elloumi; Martine Labbé; Fränk Plein (Comput. Oper. Res., 2021)

Learn-n-Route: Learning implicit preferences for vehicle routing. - Rocsildes Canoy; Victor Bucarey; Jayanta Mandi; Tias Guns (CoRR, 2021)

Predict and Optimize: Through the Lens of Learning to Rank. - Jayanta Mandi; Víctor Bucarey; Maxime Mulamba; Tias Guns (CoRR, 2021)

Coordinating resources in Stackelberg Security Games. - Victor Bucarey; Carlos Casorrán; Martine Labbé; Fernando Ordóñez; Óscar Figueroa (Eur. J. Oper. Res., 2021)

The Stackelberg Games of Water Extraction with Myopic Agents. - Alain Jean-Marie; Mabel Tidball; Víctor Bucarey López (IGTR, 2021)

Decision-Focused Learning: Through the Lens of Learning to Rank. - Jayanta Mandi; Víctor Bucarey; Maxime Mulamba Ke Tchomba; Tias Guns (ICML, 2022)

Benders decomposition for network design covering problems. - Víctor Bucarey; Bernard Fortz; Natividad González-Blanco; Martine Labbé; Juan A. Mesa (Comput. Oper. Res., 2022)

Learn and route: learning implicit preferences for vehicle routing. - Rocsildes Canoy; Víctor Bucarey; Jayanta Mandi; Tias Guns (Constraints An Int. J., 2023)

Stationary Strong Stackelberg Equilibrium in Discounted Stochastic Games. - Víctor Bucarey López; Eugenio Della Vecchia; Alain Jean-Marie; Fernando Ordóñez (IEEE Trans. Autom. Control., 2023)

Decision-Focused Predictions via Pessimistic Bilevel Optimization: A Computational Study. - Víctor Bucarey; Sophia Calderón; Gonzalo Muñoz 001; Frédéric Semet (CPAIOR (1), 2024)

Balancing Resources and Demand: A Bi-Objective Mixed-Integer Programming Approach of Healthcare Districts in Chile. - Paulette Castillo; Victor Bucarey; Sebastián Dávila-Gálvez; Franco Quezada (ICORES, 2024)

Probability estimation and structured output prediction for learning preferences in last mile delivery. - Rocsildes Canoy; Victor Bucarey; Jayanta Mandi; Maxime Mulamba; Yves Molenbruch; Tias Guns (Comput. Ind. Eng., 2024)

Branch-and-price with novel cuts, and a new Stackelberg Security Game. - Pamela Bustamante-Faúndez; Víctor Bucarey López; Martine Labbé; Vladimir Marianov; Fernando Ordóñez (CoRR, 2024)

Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities. - Jayanta Mandi; James Kotary; Senne Berden; Maxime Mulamba; Victor Bucarey; Tias Guns; Ferdinando Fioretto (J. Artif. Intell. Res., 2024)

Novel valid inequalities and branch-and-price for Stackelberg security games. - Pamela Bustamante-Faúndez; Víctor Bucarey López; Martine Labbé; Vladimir Marianov; Fernando Ordóñez (Comput. Oper. Res., 2025)

On λ-cent-dians and generalized-center for network design: definitions and properties. - Víctor Bucarey; Natividad González-Blanco; Martine Labbé; Juan A. Mesa (Ann. Oper. Res., 2025)

On λ-cent-dians and generalized-center for network design: formulations and algorithms. - Víctor Bucarey; Natividad González-Blanco; Martine Labbé; Juan A. Mesa (Ann. Oper. Res., 2025)