Youssef Diouane

51 papers A 2Journal 48

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Proximal Modified Quasi-Newton Method for Nonsmooth Regularized Optimization. SIAM J. Optim. Youssef Diouane, Mohamed Laghdaf Habiboullah, Dominique Orban
2026	J	`jnl`	A Spectral Preconditioner for the Conjugate Gradient Method with Iteration Budget. CoRR Youssef Diouane, Selime Gürol, Oussama Mouhtal, Dominique Orban
2026	J	`jnl`	Multi-fidelity approaches for general constrained Bayesian optimization with application to aircraft design. CoRR Oihan Cordelier, Youssef Diouane, Nathalie Bartoli, Eric Laurendeau
2026	J	`jnl`	Nonsmooth Exact Penalty Methods for Equality-Constrained Optimization: Complexity and Implementation. SIAM J. Optim. Youssef Diouane, Maxence Gollier, Dominique Orban
2026	J	`jnl`	RegularizedOptimization.jl: A Julia framework for regularized and nonsmooth optimization. J. Open Source Softw. Maxence Gollier, Mohamed Laghdaf Habiboullah, Geoffroy Leconte, Robert J. Baraldi, Alberto De Marchi, Dominique Orban, Youssef Diouane
2026	J	`jnl`	Transfer Learning in Bayesian Optimization for Aircraft Design. CoRR Ali Tfaily, Youssef Diouane, Nathalie Bartoli, Michael Kokkolaras
2025	J	`jnl`	A Probabilistic U-Net Approach to Downscaling Climate Simulations. CoRR Maryam Alipourhajiagha, Pierre-Louis Lemaire, Youssef Diouane, Julie Carreau
2025	J	`jnl`	A distance for mixed-variable and hierarchical domains with meta variables. Neurocomputing Edward Hallé-Hannan, Charles Audet, Youssef Diouane, Sébastien Le Digabel, Paul Saves
2025	J	`jnl`	Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design. CoRR Paul Saves, Nathalie Bartoli, Youssef Diouane, Thierry Lefebvre, Joseph Morlier, Christophe David, Eric Nguyen Van, Sébastien Defoort
2025	J	`jnl`	Hierarchical Modeling and Architecture Optimization: Review and Unified Framework. CoRR Paul Saves, Edward Hallé-Hannan, Jasper H. Bussemaker, Youssef Diouane, Nathalie Bartoli
2025	J	`jnl`	High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings. CoRR Rémy Priem, Youssef Diouane, Nathalie Bartoli, Sylvain Dubreuil, Paul Saves
2025	J	`jnl`	Min-Max Optimisation for Nonconvex-Nonconcave Functions Using a Random Zeroth-Order Extragradient Algorithm. CoRR Amir Ali Farzin, Yuen-Man Pun, Philipp Braun, Antoine Lesage-Landry, Youssef Diouane, Iman Shames
2025	J	`jnl`	Min-Max Optimisation for Nonconvex-Nonconcave Functions Using a Random Zeroth-Order Extragradient Algorithm. Trans. Mach. Learn. Res. Amir Ali Farzin, Yuen-Man Pun, Philipp Braun, Antoine Lesage-Landry, Youssef Diouane, Iman Shames
2025	J	`jnl`	Multi-objective Bayesian Optimization With Mixed-categorical Design Variables for Expensive-to-evaluate Aeronautical Applications. CoRR Nathalie Bartoli, Thierry Lefebvre, Rémi Lafage, Paul Saves, Youssef Diouane, Joseph Morlier, Jasper H. Bussemaker, Giuseppa Donelli, Joao Marcos Gomes de Mello, Massimo Mandorino, Pierluigi Della Vecchia
2025	J	`jnl`	Regularized infill criteria for multi-objective Bayesian optimization with application to aircraft design. CoRR Robin Grapin, Youssef Diouane, Joseph Morlier, Nathalie Bartoli, Thierry Lefebvre, Paul Saves, Jasper H. Bussemaker
2025	J	`jnl`	System-of-systems Modeling and Optimization: An Integrated Framework for Intermodal Mobility. CoRR Paul Saves, Jasper H. Bussemaker, Rémi Lafage, Thierry Lefebvre, Nathalie Bartoli, Youssef Diouane, Joseph Morlier
2024	J	`jnl`	A Proximal Modified Quasi-Newton Method for Nonsmooth Regularized Optimization. CoRR Youssef Diouane, Mohamed Laghdaf Habiboullah, Dominique Orban
2024	J	`jnl`	A Stochastic Iteratively Regularized Gauss-Newton Method. CoRR El Houcine Bergou, Neil K. Chada, Youssef Diouane
2024	J	`jnl`	A general error analysis for randomized low-rank approximation with application to data assimilation. CoRR Alexandre Scotto Di Perrotolo, Youssef Diouane, Selime Gürol, Xavier Vasseur
2024	J	`jnl`	A graph-structured distance for heterogeneous datasets with meta variables. CoRR Edward Hallé-Hannan, Charles Audet, Youssef Diouane, Sébastien Le Digabel, Paul Saves
2024	J	`jnl`	An Efficient Scaled spectral preconditioner for sequences of symmetric positive definite linear systems. CoRR Youssef Diouane, Selime Gürol, Oussama Mouhtal, Dominique Orban
2024	J	`jnl`	Impact of correlated observation errors on the conditioning of variational data assimilation problems. Numer. Linear Algebra Appl. Olivier Goux, Selime Gürol, Anthony T. Weaver, Youssef Diouane, Oliver Guillet
2024	J	`jnl`	Inexact direct-search methods for bilevel optimization problems. Comput. Optim. Appl. Youssef Diouane, Vyacheslav Kungurtsev, Francesco Rinaldi, Damiano Zeffiro
2024	J	`jnl`	SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes. Adv. Eng. Softw. Paul Saves, Rémi Lafage, Nathalie Bartoli, Youssef Diouane, Jasper H. Bussemaker, Thierry Lefebvre, John T. Hwang, Joseph Morlier, Joaquim R. R. A. Martins
2023	J	`jnl`	A mixed-categorical correlation kernel for Gaussian process. Neurocomputing Paul Saves, Youssef Diouane, Nathalie Bartoli, Thierry Lefebvre, Joseph Morlier
2023	J	`jnl`	High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft. CoRR Paul Saves, Youssef Diouane, Nathalie Bartoli, Thierry Lefebvre, Joseph Morlier
2023	J	`jnl`	SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes. CoRR Paul Saves, Rémi Lafage, Nathalie Bartoli, Youssef Diouane, Jasper H. Bussemaker, Thierry Lefebvre, John T. Hwang, Joseph Morlier, Joaquim R. R. A. Martins
2023	J	`jnl`	TREGO: a trust-region framework for efficient global optimization. J. Glob. Optim. Youssef Diouane, Victor Picheny, Rodolphe Le Riche, Alexandre Scotto Di Perrotolo
2022	A	`conf`	A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning. AISTATS Youssef Diouane, Aurélien Lucchi, Vihang Prakash Patil
2022	J	`jnl`	A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning. CoRR Youssef Diouane, Aurélien Lucchi, Vihang Patil
2022	J	`jnl`	A Stochastic Levenberg-Marquardt Method Using Random Models with Complexity Results. SIAM/ASA J. Uncertain. Quantification El Houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev, Clément W. Royer
2022	J	`jnl`	A Subsampling Line-Search Method with Second-Order Results. INFORMS J. Optim. El Houcine Bergou, Youssef Diouane, Vladimir Kunc, Vyacheslav Kungurtsev, Clément W. Royer
2022	J	`jnl`	A general error analysis for randomized low-rank approximation methods. CoRR Youssef Diouane, Selime Gürol, Alexandre Scotto Di Perrotolo, Xavier Vasseur
2022	J	`jnl`	A mixed-categorical correlation kernel for Gaussian process. CoRR Paul Saves, Youssef Diouane, Nathalie Bartoli, Thierry Lefebvre, Joseph Morlier
2022	J	`jnl`	An outer approximation bi-level framework for mixed categorical structural optimization problems. CoRR Pierre-Jean Barjhoux, Youssef Diouane, Stéphane Grihon, Joseph Morlier
2022	J	`jnl`	Impact of correlated observation errors on the convergence of the conjugate gradient algorithm in variational data assimilation. CoRR Olivier Goux, Selime Gürol, Anthony T. Weaver, Oliver Guillet, Youssef Diouane
2021	J	`jnl`	A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Least-Squares Problems. SIAM J. Sci. Comput. El Houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev, Clément W. Royer
2021	J	`jnl`	A merit function approach for evolution strategies. EURO J. Comput. Optim. Youssef Diouane
2021	J	`jnl`	Complexity iteration analysis for strongly convex multi-objective optimization using a Newton path-following procedure. Optim. Lett. El Houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev
2021	A	`conf`	Direct-Search for a Class of Stochastic Min-Max Problems. AISTATS Sotirios-Konstantinos Anagnostidis, Aurélien Lucchi, Youssef Diouane
2021	J	`jnl`	Direct-Search for a Class of Stochastic Min-Max Problems. CoRR Sotiris Anagnostidis, Aurélien Lucchi, Youssef Diouane
2021	J	`jnl`	Worst-Case Complexity Bounds of Directional Direct-Search Methods for Multiobjective Optimization. J. Optim. Theory Appl. Ana Luísa Custódio, Youssef Diouane, Rohollah Garmanjani, Elisa Riccietti
2020	J	`jnl`	A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Inverse Problems. CoRR El Houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev, Clément W. Royer
2020	J	`jnl`	An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design. CoRR Rémy Priem, Hugo Gagnon, Ian Chittick, Stephane Dufresne, Youssef Diouane, Nathalie Bartoli
2020	J	`jnl`	Convergence and Complexity Analysis of a Levenberg-Marquardt Algorithm for Inverse Problems. J. Optim. Theory Appl. El Houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev
2020	J	`jnl`	Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design. CoRR Rémy Priem, Nathalie Bartoli, Youssef Diouane, Alessandro Sgueglia
2018	J	`jnl`	A Line-Search Algorithm Inspired by the Adaptive Cubic Regularization Framework and Complexity Analysis. J. Optim. Theory Appl. El Houcine Bergou, Youssef Diouane, Serge Gratton
2017	J	`jnl`	On the use of the energy norm in trust-region and adaptive cubic regularization subproblems. Comput. Optim. Appl. El Houcine Bergou, Youssef Diouane, Serge Gratton
2015	J	`jnl`	Globally convergent evolution strategies for constrained optimization. Comput. Optim. Appl. Youssef Diouane, Serge Gratton, Luís Nunes Vicente
2015	J	`jnl`	Globally convergent evolution strategies. Math. Program. Youssef Diouane, Serge Gratton, Luís Nunes Vicente
2014	—	`—`	Des stratégies évolutionnaires globalement convergentes avec une application en imagerie sismique pour la géophysique. (Globally convergent evolution strategies with application to Earth imaging problem in geophysics). Youssef Diouane