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Diouane, Y., Bergou, E. H., Kungurtsev, V., & Royer, C. W. (juillet 2024). A direct-search method for decentralized derivative-free optimization [Résumé]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. Lien externe
Diouane, Y., Golier, M., & Orban, D. (2024). A nonsmooth exact penalty method for equality-constrained optimization : complexity and implementation. (Rapport technique n° G-2024-55). Lien externe
Diouane, Y., Gürol, S., Mouhtal, O., & Orban, D. (2024). An efficient scaled spectral preconditioner for sequences of symmetric positive definite linear systems. (Rapport technique n° G-2024-66). Lien externe
Diouane, Y., Habiboullah, M. L., & Orban, D. (2024). Complexity of trust-region methods in the presence of unbounded Hessian approximations. (Rapport technique n° G-2024-43). Lien externe
Diouane, Y., Habiboullah, M. L., & Orban, D. (2024). A proximal modified quasi-Newton method for nonsmooth regularized optimization. (Rapport technique n° G-2024-64). Lien externe
Diouane, Y., Kungurtsev, V., Rinaldi, F., & Zeffiro, D. (2024). Inexact direct-search methods for bilevel optimization problems. Computational Optimization and Applications, 22-22. Disponible
Habiboullah, M. L., Diouane, Y., & Orban, D. (juillet 2024). A Proximal Modified Quasi-Newton Method for Nonsmooth Regularized Optimization [Résumé]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. Lien externe
Hallé-Hannan, E., Audet, C., Diouane, Y., Le Digabel, S., & Saves, P. (2024). A graph-structured distance for heterogeneous datasets with meta variables. (Rapport technique n° G-2024-33). Lien externe
Hallé-Hannan, E., Audet, C., Le Digabel, S., & Diouane, Y. (juillet 2024). A graph-structured distance for heterogeneous datasets with meta variables [Résumé]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. Lien externe
Priem, R., Diouane, Y., Bartoli, N., Dubreuil, S., & Saves, P. (2024). High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings. AIAA Journal, 1-13. Lien externe
Saves, P., Diouane, Y., Bartoli, N., Lefèbvre, T., & Morlier, J. (2024). High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft. Structural and Multidisciplinary Optimization, 67, 81 (22 pages). Lien externe
Saves, P., Lafage, R., Bartoli, N., Diouane, Y., Bussemaker, J., Lefèbvre, T., Hwang, J. T., Morlier, J., & Martins, J. R. R. A. (2024). SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes. Advances in Engineering Software, 188, 103571 (16 pages). Lien externe
Scotto Di Perrotolo, A., Diouane, Y., Gürol, S., & Vasseur, X. (2024). A general error analysis for randomized low-rank approximation with application to data assimilation. (Rapport technique n° G-2024-31). Lien externe
Tfaily, A., Diouane, Y., Bartoli, N., & Kokkolaras, M. (2024). Bayesian optimization with hidden constraints for aircraft design. (Rapport technique n° G-2024-10). Lien externe
Tfaily, A., Diouane, Y., Bartoli, N., & Kokkolaras, M. (2024). Bayesian optimization with hidden constraints for aircraft design. Structural and Multidisciplinary Optimization, 67, 13 (18 pages). Lien externe
