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Victor Bucarey

Víctor Bucarey – Víctor Bucarey López

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affiliation: Universidad de O'Higgins, Rancagua, Chile

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2020 – today

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2024
[j8]
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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]
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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]
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Víctor Bucarey, Sophia Calderón, Gonzalo Muñoz, Frédéric Semet:
Decision-Focused Predictions via Pessimistic Bilevel Optimization: A Computational Study. CPAIOR (1) 2024: 127-135
[c7]
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  - conf/icores/CastilloBDQ24
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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]
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  - journals/corr/abs-2405-09356
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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]
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  - journals/constraints/CanoyBMG23
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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]
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  - journals/tac/LopezVJO23
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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]
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  - journals/corr/abs-2307-13565
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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]
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  - journals/cor/BucareyFGLM22
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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]
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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]
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  - journals/corr/abs-2201-10269
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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]
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  - journals/cor/BucareyELP21
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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]
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  - journals/eor/BucareyCLOF21
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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]
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  - journals/igtr/Jean-MarieTL21
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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]
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  - conf/cp/MandiCBG21
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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]
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  - conf/ijcai/MulambaMD0BG21
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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]
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  - journals/corr/abs-2101-03936
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Rocsildes Canoy, Victor Bucarey, Jayanta Mandi, Tias Guns:
Learn-n-Route: Learning implicit preferences for vehicle routing. CoRR abs/2101.03936 (2021)
[i3]
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  - journals/corr/abs-2108-04578
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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]
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  - journals/corr/abs-2112-03609
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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]
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  - journals/corr/abs-2011-05354
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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

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2019
[c3]
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  - conf/gamesec/BucareyL19
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Victor Bucarey, Martine Labbé:
Discussion of Fairness and Implementability in Stackelberg Security Games. GameSec 2019: 97-117
2017
[c2]
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  - conf/gamesec/BucareyCFRNO17
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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]
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  - conf/atal/ZhangBMSQVT16
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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

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