Victor Bucarey

According to our database, Victor Bucarey authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

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

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

Proceedings of the 13th International Conference on Operations Research and Enterprise Systems, 2024

Decision-Focused Predictions via Pessimistic Bilevel Optimization: A Computational Study.

Víctor Bucarey, Sophia Calderón, Gonzalo Muñoz, Frédéric Semet

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2024

2023

Stationary Strong Stackelberg Equilibrium in Discounted Stochastic Games.

Víctor Bucarey López, Eugenio Della Vecchia, Alain Jean-Marie, Fernando Ordóñez

IEEE Trans. Autom. Control., September, 2023

Learn and route: learning implicit preferences for vehicle routing.

Rocsildes Canoy, Víctor Bucarey, Jayanta Mandi, Tias Guns

Constraints An Int. J., September, 2023

2022

Benders decomposition for network design covering problems.

Víctor Bucarey, Bernard Fortz, Natividad González-Blanco, Martine Labbé, Juan A. Mesa

Comput. Oper. Res., 2022

Decision-Focused Learning: Through the Lens of Learning to Rank.

Jayanta Mandi, Víctor Bucarey, Maxime Mulamba Ke Tchomba, Tias Guns

Proceedings of the International Conference on Machine Learning, 2022

2021

The Stackelberg Games of Water Extraction with Myopic Agents.

Alain Jean-Marie, Mabel Tidball, Víctor Bucarey López

IGTR, 2021

Coordinating resources in Stackelberg Security Games.

Victor Bucarey, Carlos Casorrán, Martine Labbé, Fernando Ordóñez, Óscar Figueroa

Eur. J. Oper. Res., 2021

Predict and Optimize: Through the Lens of Learning to Rank.

Jayanta Mandi, Víctor Bucarey, Maxime Mulamba, Tias Guns

CoRR, 2021

Learn-n-Route: Learning implicit preferences for vehicle routing.

Rocsildes Canoy, Victor Bucarey, Jayanta Mandi, Tias Guns

CoRR, 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

Contrastive Losses and Solution Caching for Predict-and-Optimize.

Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP.

Jayanta Mandi, Rocsildes Canoy, Víctor Bucarey, Tias Guns

Proceedings of the 27th International Conference on Principles and Practice of Constraint Programming, 2021

2020

Discrete solution pools and noise-contrastive estimation for predict-and-optimize.

Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns

CoRR, 2020

2019

Discussion of Fairness and Implementability in Stackelberg Security Games.

Victor Bucarey, Martine Labbé

Proceedings of the Decision and Game Theory for Security - 10th International Conference, 2019

2017

Building Real Stackelberg Security Games for Border Patrols.

Victor Bucarey, Carlos Casorrán, Óscar Figueroa, Karla Rosas, Hugo F. Navarrete, Fernando Ordóñez

Proceedings of the Decision and Game Theory for Security - 8th International Conference, 2017

2016

Using Abstractions to Solve Opportunistic Crime Security Games at Scale.

Chao Zhang, Victor Bucarey, Ayan Mukhopadhyay, Arunesh Sinha, Yundi Qian, Yevgeniy Vorobeychik, Milind Tambe

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016