 | Monter d'un niveau |
Archetti, C., Uchoa, E., & Vidal, T. (2024). Special Section on "DIMACS Implementation Challenge: Vehicle Routing" and "The EURO Meets NeurIPS 2022 Vehicle Routing Competition". Transportation Science, 58(4), 685-686. Lien externe
Contardo, C., Fukasawa, R., Rousseau, L.-M., & Vidal, T. (mai 2024). Optimal Counterfactual Explanations for k-Nearest Neighbors Using Mathematical Optimization and Constraint Programming [Communication écrite]. 8th International Symposium on Combinatorial Optimization (ISCO 2024), La Laguna, Tenerife, Spain. Lien externe
Ferreira, V., Pessoa, A., & Vidal, T. (2024). Influence optimization in networks: New formulations and valid inequalities. Computers & Operations Research, 106857 (14 pages). Lien externe
Ferry, J., Fukasawa, R., Pascal, T., & Vidal, T. (juillet 2024). Trained Random Forests Completely Reveal your Dataset [Communication écrite]. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria. Lien externe
Forel, A., Parmentier, A., & Vidal, T. (mai 2024). Don't Explain Noise: Robust Counterfactuals for Randomized Ensembles [Communication écrite]. 21st International Conference on Integration of Constraint Programming, Artificial Intelligence and Operations Research (CPAIOR 2024), Uppsala, Sweden. Lien externe
Sadana, U., Chenreddy, A., Delage, E., Forel, A., Frejinger, E., & Vidal, T. (2024). A survey of contextual optimization methods for decision-making under uncertainty. European Journal of Operational Research, 19 pages. Lien externe
Sampaio, R. A., Dias Garcia, J., Poggi, M., & Vidal, T. (2024). Regularization and optimization in model-based clustering. Pattern Recognition, 150, 110310 (14 pages). Lien externe
Serrano, B., & Vidal, T. (2024). Community detection in the stochastic block model by mixed integer programming. Pattern Recognition, 152, 110487 (12 pages). Disponible
Serrano, B., Minner, S., Schiffer, M., & Vidal, T. (2024). Bilevel optimization for feature selection in the data-driven newsvendor problem. European Journal of Operational Research, 315(2), 703-714. Disponible
Vivier-Ardisson, G., Forel, A., Parmentier, A., & Vidal, T. (juillet 2024). CF-OPT: Counterfactual Explanations for Structured Prediction [Communication écrite]. 41st International Conference on Machine Learning (ICML 2024), Vienna, Austria. Lien externe
