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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
Forel, A., Parmentier, A., & Vidal, T. (juillet 2023). Explainable Data-Driven Optimization: From Context to Decision and Back Again [Communication écrite]. 40th International Conference on Machine Learning (ICML 2023), Honolulu, HI, USA (18 pages). 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
