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Bazotte Corgozinho, M. C., Carvalho, M., & Vidal, T. (2025). Code and Data Repository for Solving Two-Stage Stochastic Programs with Endogenous Uncertainty via Random Variable Transformation. INFORMS journal on computing. Lien externe
Emine, Y., Forel, A. R. G., Malek, I., & Vidal, T. (2025). Free Lunch in the Forest: Functionally-Identical Pruning of Boosted Tree Ensembles. Proceedings of the AAAI Conference on Artificial Intelligence, 39(16), 16488-16495. Lien externe
Jungel, K., Parmentier, A., Schiffer, M., & Vidal, T. (2025). Code and Data Repository for Learning-Based Online Optimization for Autonomous Mobility-on-Demand Fleet Control. INFORMS journal on computing, 21 pages. Lien externe
Jungel, K., Parmentier, A., Schiffer, M., & Vidal, T. (2025). Learning-Based Online Optimization for Autonomous Mobility-on-Demand Fleet Control. INFORMS journal on computing. Lien externe
Langlade, L., Ferry, J., Laberge, G., & Vidal, T. (2025). Fairness and Sparsity Within Rashomon Sets: Enumeration-Free Exploration and Characterization. Proceedings of the AAAI/ACM Conference on AI Ethics and Society, 8(2), 1536-1547. Présentée à 8th AAAI/ACM Conference on AI, Ethics, and Society (AIES 2025), Madrid, Spain. Lien externe
Roland, M., Forel, A. R. G., & Vidal, T. (2025). Adaptive Partitioning for Chance-Constrained Problems with Finite Support. SIAM Journal on Optimization, 35(1), 476-505. Lien externe
Santana, Í., Serrano, B., Schiffer, M., & Vidal, T. (2025). Support vector machines with the hard-margin loss: optimal training via combinatorial Benders' cuts. Journal of Global Optimization, 21 pages. Lien externe
