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Youssef DiouaneDepartment of Mathematics and Industrial Engineering
Profile in the Directory of Experts of Polytechnique Montréal
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Alipourhajiagha, M., Lemaire, P.-L., Diouane, Y., & Carreau, J. (2025, December). A probabilistic U-Net approach to downscaling climate simulations [Poster]. The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025), San Diego, California, USA (7 pages). Available
Audet, C., Diouane, Y., Hallé-Hannan, E., Le Digabel, S., & Tribes, C. (2025). CatMADS: Mesh Adaptive Direct Search for constrained blackbox optimization with categorical variables. (Technical Report n° G-2025-42). External link
Anagnostidis, S.-K., Lucchi, A., & Diouane, Y. (2021, April). Direct-Search for a Class of Stochastic Min-Max Problems [Paper]. 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021). External link
Belhafnaoui, M. A., & Diouane, Y. (2026, June). Bayesian Algorithm for Collaborative Optimisation With Application to Aircraft Design [Paper]. AIAA AVIATION 2026 Forum, San Diego, CA, USA. External link
Bergou, E. H., Diouane, Y., Kungurtsev, V., & Royer, C. W. (2026). Direct-search methods for decentralized blackbox optimization. Optimization Methods and Software, 22 pages. Restricted access
Bergou, E., Chada, N. K., & Diouane, Y. (2025). A Stochastic iteratively regularized Gauss–Newton method. Inverse Problems, 41(1), 015005 (22 pages). Available
Bartoli, N., Lefebvre, T., Lafage, R., Saves, P., Diouane, Y., Morlier, J., Bussemaker, J. H., Donelli, G., Gomes de Mello, J. M., Mandorino, M., & Della Vecchia, P. (2023, July). Multi-objective bayesian optimization with mixed-categorical design variables for expensive-to-evaluate aeronautical applications [Paper]. 2023 ECCOMAS Thematic Conference on Mutlidisciplinary Design Optimization of Aerospace Systems (AEROBEST 2023), Lisboa, Portugal (600 pages). External link
Barjhoux, P.-J., Diouane, Y., Grihon, S., & Morlier, J. (2022). An outer approximation bi-level framework for mixed categorical structural optimization problems. Structural and Multidisciplinary Optimization, 65(8), 214 (20 pages). External link
Bergou, E. H., Diouane, Y., Kungurtsev, V., & Royer, C. W. (2022). A Stochastic Levenberg--Marquardt Method Using Random Models with Complexity Results. SIAM/ASA Journal on Uncertainty Quantification, 10(1), 507-536. External link
Bergou, E. H., Diouane, Y., Kunc, V., Kungurtsev, V., & Royer, C. W. (2022). A subsampling line-search method with second-order results. INFORMS Journal on Optimization, 4(4), 403-425. External link
Bergou, E.-H., Diouane, Y., & Kungurtsev, V. (2021). Complexity iteration analysis for strongly convex multi-objective optimization using a Newton path-following procedure. Optimization Letters, 15(4), 1215-1227. External link
Bergou, E. H., Diouane, Y., Kungurtsev, V., & Royer, C. W. (2021). A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Least-Squares Problems. SIAM Journal on Scientific Computing, 43(5), S743-S766. External link
Barjhoux, P.-J., Diouane, Y., Grihon, S., Bettebghor, D., & Morlier, J. (2020). A bi-level methodology for solving large-scale mixed categorical structural optimization. Structural and Multidisciplinary Optimization, 62(1), 337-351. External link
Bergou, E. H., Diouane, Y., & Kungurtsev, V. (2020). Convergence and Complexity Analysis of a Levenberg–Marquardt Algorithm for Inverse Problems. Journal of Optimization Theory and Applications, 185(3), 927-944. External link
Barjhoux, P.-J., Diouane, Y., Grihon, S., Bettebghor, D., & Morlier, J. (2018, June). A Bilevel Methodology for solving a Structural Optimization Problem with both Continuous and Categorical Variables [Paper]. Multidisciplinary Analysis and Optimization Conference (AIAA AVIATION Forum 2018), Atlanta, Georgia, USA. External link
Bergou, E. H., Diouane, Y., & Gratton, S. (2018). A Line-Search Algorithm Inspired by the Adaptive Cubic Regularization Framework and Complexity Analysis. Journal of Optimization Theory and Applications, 178(3), 885-913. External link
Barjhoux, P.-J., Diouane, Y., Grihon, S., Bettebghor, D., & Morlier, J. (2017, June). Mixed Variable Structural Optimization: Toward an Efficient Hybrid Algorithm [Paper]. 12th World Congress of Structural and Multidisciplinary Optimization (WCSMO 2017), Braunschweig, Germany. External link
Bergou, E., Diouane, Y., & Gratton, S. (2017). On the use of the energy norm in trust-region and adaptive cubic regularization subproblems. Computational Optimization and Applications, 68(3), 533-554. External link
Cordelier, O., Diouane, Y., Bartoli, N., & Laurendeau, É. (2025, July). Multi-Fidelity Constrained Bayesian Optimization with Application to Aircraft Wing Design [Paper]. AIAA Aviation forum and ascend 2025, Las Vegas, NV, USA. External link
Custódio, A. L., Diouane, Y., Garmanjani, R., & Riccietti, E. (2021). Worst-Case Complexity Bounds of Directional Direct-Search Methods for Multiobjective Optimization. Journal of Optimization Theory and Applications, 188(1), 73-93. External link
Diouane, Y., Gollier, M., & Orban, D. (2026). Nonsmooth exact penalty methods for equality-constrained optimization: complexity and implementation. SIAM Journal on Optimization, 36(2), 626-650. Available
Diouane, Y., Habiboullah, M. L., & Orban, D. (2026). A proximal modified quasi-newton method for nonsmooth regularized optimization. SIAM Journal on Optimization, 36(2), 534-563. Available
Diouane, Y., Habiboullah, M. L., & Orban, D. (2026). Complexity of trust-region methods in the presence of unbounded Hessian approximations. Mathematical Programming, 41 pages. Restricted access
Diouane, Y., Gollier, M., Habiboullah, M. L., & Orban, D. (2025). RegularizedOptimization.jl: A Julia framework for regularized and nonsmooth optimization. (Technical Report n° G-2025-75). External link
Diouane, Y., Gürol, S., Mouhtal, O., & Orban, D. (2024). An efficient scaled spectral preconditioner for sequences of symmetric positive definite linear systems. (Technical Report n° G-2024-66). External link
Diouane, Y., Habiboullah, M. L., & Orban, D. (2024). A proximal modified quasi-Newton method for nonsmooth regularized optimization. (Technical Report n° G-2024-64). External link
Diouane, Y., Habiboullah, M. L., & Orban, D. (2024). Complexity of trust-region methods in the presence of unbounded Hessian approximations. (Technical Report n° G-2024-43). External link
Diouane, Y., Bergou, E. H., Kungurtsev, V., & Royer, C. W. (2024, July). A direct-search method for decentralized derivative-free optimization [Abstract]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. External link
Diouane, Y., Kungurtsev, V., Rinaldi, F., & Zeffiro, D. (2024). Inexact direct-search methods for bilevel optimization problems. Computational Optimization and Applications, 22-22. Available
Diouane, Y., Golier, M., & Orban, D. (2024). A nonsmooth exact penalty method for equality-constrained optimization : complexity and implementation. (Technical Report n° G-2024-55). External link
Diouane, Y., Picheny, V., Riche, R. L., & Perrotolo, A. S. D. (2023). TREGO: a trust-region framework for efficient global optimization. Journal of Global Optimization, 86(1), 1-23. External link
Diouane, Y., Lucchi, A., & Patil, V. (2022, March). A globally convergent evolutionary strategy for stochastic constrained optimization with applications to reinforcement learning [Paper]. 25th International Conference on Artificial Intelligence and Statistics (AISTATS 2022). External link
Diouane, Y. (2021). Contribution to numerical optimization with application to engineering problems [Habilitation à diriger, INP Toulouse]. Unavailable
Diouane, Y. (2021). A merit function approach for evolution strategies. EURO Journal on Computational Optimization, 9, 100001 (13 pages). External link
Diouane, Y., Gratton, S., Vasseur, X., Vicente, L. N., & Calandra, H. (2016). A parallel evolution strategy for an earth imaging problem in geophysics. Optimization and Engineering, 17(1), 3-26. External link
Diouane, Y., Gratton, S., & Vicente, L. N. (2015). Globally convergent evolution strategies. Mathematical Programming, 152(1), 467-490. External link
Diouane, Y., Gratton, S., & Vicente, L. N. (2015). Globally convergent evolution strategies for constrained optimization. Computational Optimization and Applications, 62(2), 323-346. External link
Diouane, Y. (2014). Globally convergent evolution strategies with application to Earth imaging problem in geophysics [Ph.D. Thesis, Institut National Polytechnique de Toulouse (INP Toulouse)]. External link
Diouane, Y., Calandra, H., Gratton, S., & Vasseur, X. (2014, September). A Parallel Evolution Strategy for Acoustic Full-Waveform Inversion [Paper]. EAGE Workshop on High Performance Computing for Upstream, Chania, Crete, Greece. External link
Diouane, Y. (2011). Solving a Two-Dimensional Full-Waveform Inversion Problem Using a Global Optimization Method [Master's Thesis, ENSEEIHT]. Unavailable
Farzin, A. A., Pun, Y.-M., Lesage-Landry, A., Diouane, Y., & Shames, I. (2025). Min-max optimisation for nonconvex-nonconcave functions using a random zeroth-order extragradient algorithm. Transactions on Machine Learning Research, 59 pages. Available
Gollier, M., Habiboullah, M. L., Leconte, G., Baraldi, R., Marchi, A. D., Orban, D., & Diouane, Y. (2026). RegularizedOptimization.jl: A Julia framework for regularized and nonsmooth optimization. Journal of Open Source Software, 11(118), 9344 (4 pages). Available
Goux, O., Gürol, S., Weaver, A. T., Diouane, Y., & Guillet, O. (2023). Impact of correlated observation errors on the conditioning of variational data assimilation problems. Numerical Linear Algebra with Applications, 35 pages. External link
Grapin, R., Diouane, Y., Morlier, J., Bartoli, N., Lefèbvre, T., Saves, P., & Bussemaker, J. H. (2022, June). Constrained multi-objective bayesian optimization with application to aircraft design [Paper]. AIAA AVIATION 2022 Forum, Chicago, Illinois. External link
Hallé-Hannan, E., Audet, C., Diouane, Y., Le Digabel, S., & Saves, P. (2025). A distance for mixed-variable and hierarchical domains with meta variables. Neurocomputing, 131208. External link
Hallé-Hannan, E., Audet, C., Diouane, Y., Le Digabel, S., & Tribes, C. (2025). Cat-Suite: A collection of optimization problems with categorical and quantitative variables for benchmarking. (Technical Report n° G-2025-39). External link
Hallé-Hannan, E., Audet, C., Diouane, Y., Le Digabel, S., & Saves, P. (2024). A graph-structured distance for heterogeneous datasets with meta variables. (Technical Report n° G-2024-33). External link
Hallé-Hannan, E., Audet, C., Le Digabel, S., & Diouane, Y. (2024, July). A graph-structured distance for heterogeneous datasets with meta variables [Abstract]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. External link
Habiboullah, M. L., Diouane, Y., & Orban, D. (2024, July). A Proximal Modified Quasi-Newton Method for Nonsmooth Regularized Optimization [Abstract]. 25th International Symposium on Mathematical Programming (ISMP 2024), Montréal, QC, Canada. External link
Karabaş, U., Diouane, Y., & Douvenot, R. (2021, March). A Multiscale Parametrization for Refractivity Estimation in the Troposphere [Paper]. 15th European Conference on Antennas and Propagation (EuCAP 2021), Düsseldorf, Germany (5 pages). External link
Karabaş, U., Diouane, Y., & Douvenot, R. (2021). A Variational Adjoint Approach on Wide-Angle Parabolic Equation for Refractivity Inversion. IEEE Transactions on Antennas and Propagation, 69(8), 4861-4870. External link
Karabaş, U., Diouane, Y., & Douvenot, R. (2020, March). On the Use of Adjoint Methods for Refractivity Estimation in the Troposphere [Paper]. 14th European Conference on Antennas and Propagation (EuCAP 2020) (5 pages). External link
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. External link
Priem, R., Bartoli, N., Diouane, Y., Dubreuil, S., & Saves, P. (2023, June). High-dimensional efficient global optimization using both random and supervised embeddings [Paper]. AIAA AVIATION 2023 Forum, San Diego, CA, USA. External link
Priem, R., Gagnon, H., Chittick, I., Dufresne, S., Diouane, Y., & Bartoli, N. (2020, June). An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design [Paper]. Multidisciplinary Analysis and Optimization Conference (AIAA AVIATION 2020 FORUM). External link
Priem, R., Bartoli, N., Diouane, Y., & Sgueglia, A. (2020). Upper trust bound feasibility criterion for mixed constrained Bayesian optimization with application to aircraft design. Aerospace Science and Technology, 105, 105980 (24 pages). External link
Priem, R., Bartoli, N., & Diouane, Y. (2019, June). On the Use of Upper Trust Bounds in Constrained Bayesian Optimization Infill Criteria [Paper]. Multidisciplinary Analysis and Optimization Conference (AIAA Aviation 2019 Forum), Dallas, TX, USA. External link
Rufato, R. C., Diouane, Y., Henry, J., Ahlfeld, R., & Morlier, J. (2022, June). A mixed-categorical data-driven approach for prediction and optimization of hybrid discontinuous composites performance [Paper]. AIAA AVIATION 2022 Forum, Chicago, IL, USA. External link
Saves, P., Hallé-Hannan, E., Bussemaker, J., Diouane, Y., & Bartoli, N. (2026). Modeling hierarchical spaces: a review and unified framework for surrogate-based architecture design. [Modélisation hiérarchique et optimisation d'architectures de systèmes : revue comparative et cadre unifié]. Structural and Multidisciplinary Optimization, 69, 65 (34 pages). Available
Saves, P., Nguyen Van, E., Bartoli, N., Lefèbvre, T., Diouane, Y., & Morlier, J. (2025, January). Sustainable Eco-Design of Hybrid-Electric Aircraft via Bayesian Optimization with Mixed Hierarchical Variables [Paper]. Towards Sustainable Aviation Summit 2025, Toulouse, France. External link
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. (Technical Report n° G-2024-31). External link
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). External link
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). External link
Saves, P., Diouane, Y., Bartoli, N., Lefebvre, T., & Morlier, J. (2023). A mixed-categorical correlation kernel for Gaussian process. Neurocomputing, 550, 126472 (14 pages). External link
Saves, P., Diouane, Y., Bartoli, N., Lefèbvre, T., & Morlier, J. (2022, June). A general square exponential kernel to handle mixed-categorical variables for Gaussian process [Paper]. AIAA AVIATION 2022 Forum, Chicago, IL, USA. External link
Saves, P., Bartoli, N., Diouane, Y., Lefèbvre, T., Morlier, J., David, C., Nguyen Van, E., & Defoort, S. (2022, January). Multidisciplinary design optimization with mixed categorical variables for aircraft design [Paper]. AIAA SCITECH 2022 Forum, San Diego, CA, USA. External link
Saves, P., Bartoli, N., Diouane, Y., Lefebvre, T., Morlier, J., David, C., Van, E., & Defoort, S. (2021, July). Constrained Bayesian Optimization Over Mixed Categorical Variables, With Application to Aircraft Design [Paper]. AeroBest 2021, Lisbonne, Portugal. External link
Tfaily, A., Bartoli, N., Diouane, Y., & Kokkolaras, M. (2026). Transfer learning in surrogate modeling with emphasis on aircraft design. Structural and Multidisciplinary Optimization, 69(2). External link
Tfaily, A., Bartoli, N., Diouane, Y., & Kokkolaras, M. (2025). Transfer learning in surrogate modeling with emphasis on aircraft design. (Technical Report n° G-2025-50). External link
Tfaily, A., Diouane, Y., Bartoli, N., & Kokkolaras, M. (2024). Bayesian optimization with hidden constraints for aircraft design. (Technical Report n° G-2024-10). External link
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). External link
Tfaily, A., Kokkolaras, M., Bartoli, N., & Diouane, Y. (2023, June). Efficient Acquisition Functions for Bayesian Optimization in the Presence of Hidden Constraints [Paper]. AIAA AVIATION 2023 Forum, San Diego, CA, USA. External link
