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ORCIDVictor Bucarey
Person information
- affiliation: Universidad de O'Higgins, Rancagua, Chile
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2020 – today
- 2024
[j8]Rocsildes Canoy
, Victor Bucarey, Jayanta Mandi, Maxime Mulamba, Yves Molenbruch, Tias Guns:
Probability estimation and structured output prediction for learning preferences in last mile delivery. Comput. Ind. Eng. 189: 109932 (2024)- [j7]Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto:
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities. J. Artif. Intell. Res. 80: 1623-1701 (2024) - [c8]Víctor Bucarey, Sophia Calderón, Gonzalo Muñoz, Frédéric Semet:
Decision-Focused Predictions via Pessimistic Bilevel Optimization: A Computational Study. CPAIOR (1) 2024: 127-135 - [c7]Paulette Castillo, Victor Bucarey, Sebastián Dávila-Gálvez, Franco Quezada:
Balancing Resources and Demand: A Bi-Objective Mixed-Integer Programming Approach of Healthcare Districts in Chile. ICORES 2024: 341-349 - [i7]Pamela Bustamante-Faúndez, Víctor Bucarey López, Martine Labbé, Vladimir Marianov, Fernando Ordóñez:
Branch-and-price with novel cuts, and a new Stackelberg Security Game. CoRR abs/2405.09356 (2024) - 2023
- [j6]Rocsildes Canoy, Víctor Bucarey, Jayanta Mandi, Tias Guns:
Learn and route: learning implicit preferences for vehicle routing. Constraints An Int. J. 28(3): 363-396 (2023) - [j5]Víctor Bucarey López, Eugenio Della Vecchia, Alain Jean-Marie, Fernando Ordóñez:
Stationary Strong Stackelberg Equilibrium in Discounted Stochastic Games. IEEE Trans. Autom. Control. 68(9): 5271-5286 (2023) - [i6]Jayanta Mandi, James Kotary, Senne Berden, Maxime Mulamba, Victor Bucarey, Tias Guns, Ferdinando Fioretto:
Decision-Focused Learning: Foundations, State of the Art, Benchmark and Future Opportunities. CoRR abs/2307.13565 (2023) - 2022
- [j4]Víctor Bucarey, Bernard Fortz, Natividad González-Blanco, Martine Labbé, Juan A. Mesa:
Benders decomposition for network design covering problems. Comput. Oper. Res. 137: 105417 (2022) - [c6]Jayanta Mandi, Víctor Bucarey, Maxime Mulamba Ke Tchomba, Tias Guns:
Decision-Focused Learning: Through the Lens of Learning to Rank. ICML 2022: 14935-14947 - [i5]Rocsildes Canoy, Victor Bucarey, Yves Molenbruch, Maxime Mulamba, Jayanta Mandi, Tias Guns:
Probability estimation and structured output prediction for learning preferences in last mile delivery. CoRR abs/2201.10269 (2022) - 2021
- [j3]Victor Bucarey, Sourour Elloumi, Martine Labbé, Fränk Plein:
Models and algorithms for the product pricing with single-minded customers requesting bundles. Comput. Oper. Res. 127: 105139 (2021) - [j2]Victor Bucarey, Carlos Casorrán, Martine Labbé, Fernando Ordóñez, Óscar Figueroa:
Coordinating resources in Stackelberg Security Games. Eur. J. Oper. Res. 291(3): 846-861 (2021) - [j1]Alain Jean-Marie, Mabel Tidball, Víctor Bucarey López:
The Stackelberg Games of Water Extraction with Myopic Agents. IGTR 23(4): 2150023:1-2150023:27 (2021) - [c5]Jayanta Mandi, Rocsildes Canoy, Víctor Bucarey, Tias Guns:
Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP. CP 2021: 42:1-42:17 - [c4]Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns:
Contrastive Losses and Solution Caching for Predict-and-Optimize. IJCAI 2021: 2833-2840 - [i4]Rocsildes Canoy, Victor Bucarey, Jayanta Mandi, Tias Guns:
Learn-n-Route: Learning implicit preferences for vehicle routing. CoRR abs/2101.03936 (2021) - [i3]Jayanta Mandi, Rocsildes Canoy, Víctor Bucarey, Tias Guns:
Data Driven VRP: A Neural Network Model to Learn Hidden Preferences for VRP. CoRR abs/2108.04578 (2021) - [i2]Jayanta Mandi, Víctor Bucarey, Maxime Mulamba, Tias Guns:
Predict and Optimize: Through the Lens of Learning to Rank. CoRR abs/2112.03609 (2021) - 2020
- [i1]Maxime Mulamba, Jayanta Mandi, Michelangelo Diligenti, Michele Lombardi, Victor Bucarey, Tias Guns:
Discrete solution pools and noise-contrastive estimation for predict-and-optimize. CoRR abs/2011.05354 (2020)
2010 – 2019
- 2019
- [c3]Victor Bucarey, Martine Labbé:
Discussion of Fairness and Implementability in Stackelberg Security Games. GameSec 2019: 97-117 - 2017
- [c2]Victor Bucarey, Carlos Casorrán, Óscar Figueroa, Karla Rosas, Hugo F. Navarrete, Fernando Ordóñez:
Building Real Stackelberg Security Games for Border Patrols. GameSec 2017: 193-212 - 2016
- [c1]Chao Zhang, Victor Bucarey, Ayan Mukhopadhyay, Arunesh Sinha, Yundi Qian, Yevgeniy Vorobeychik, Milind Tambe:
Using Abstractions to Solve Opportunistic Crime Security Games at Scale. AAMAS 2016: 196-204
Coauthor Index
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