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Audet, C., Bouchet, P.-Y., & Bourdin, L. (2024). Convergence towards a local minimum by direct search methods with a covering step. Optimization Letters, -. External link
Alarie, S., Audet, C., Bouchet, P.-Y., & Le Digabel, S. (2021). Optimization of stochastic blackboxes with adaptive precision. SIAM Journal on Optimization, 31(4), 3127-3156. External link
Bouchet, P.-Y., Audet, C., & Bourdin, L. (2024). Convergence towards a local minimum by direct search methods with a covering step. (Technical Report n° G-2024-05). External link
Bouchet, P.-Y., Audet, C., & Bourdin, L. (2024). A derivative-free approach to partitioned optimization. (Technical Report n° G-2024-39). External link
Bouchet, P.-Y., Audet, C., & Bourdin, L. (2024). Convergence towards a local minimum by direct search methods with a covering step. (Technical Report n° G-2024-TBD). External link
Bouchet, P.-Y. (2023). Théorie de l'optimisation sans dérivées dans le cas discontinu [Ph.D. thesis, Polytechnique Montréal]. Restricted access
Bouchet, P.-Y., Gualandi, S., & Rousseau, L.-M. (2020, September). Primal Heuristics for Wasserstein Barycenters [Paper]. 17th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR 2020), Vienna, Austria. External link
Bouchet, P.-Y. (2019). Optimisation de boîtes noires à précision variable [Master's thesis, Polytechnique Montréal]. Available
