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 (2014)

Globally convergent evolution strategies for constrained optimization. - Youssef Diouane; Serge Gratton; Luís Nunes Vicente (Comput. Optim. Appl., 2015)

Globally convergent evolution strategies. - Youssef Diouane; Serge Gratton; Luís Nunes Vicente (Math. Program., 2015)

On the use of the energy norm in trust-region and adaptive cubic regularization subproblems. - El Houcine Bergou; Youssef Diouane; Serge Gratton (Comput. Optim. Appl., 2017)

A Line-Search Algorithm Inspired by the Adaptive Cubic Regularization Framework and Complexity Analysis. - El Houcine Bergou; Youssef Diouane; Serge Gratton (J. Optim. Theory Appl., 2018)

Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design. - Rémy Priem; Nathalie Bartoli; Youssef Diouane; Alessandro Sgueglia (CoRR, 2020)

An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design. - Rémy Priem; Hugo Gagnon; Ian Chittick; Stephane Dufresne; Youssef Diouane; Nathalie Bartoli (CoRR, 2020)

A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Inverse Problems. - El Houcine Bergou; Youssef Diouane; Vyacheslav Kungurtsev; Clément W. Royer (CoRR, 2020)

Convergence and Complexity Analysis of a Levenberg-Marquardt Algorithm for Inverse Problems. - El Houcine Bergou; Youssef Diouane; Vyacheslav Kungurtsev (J. Optim. Theory Appl., 2020)

Direct-Search for a Class of Stochastic Min-Max Problems. - Sotirios-Konstantinos Anagnostidis; Aurélien Lucchi; Youssef Diouane (AISTATS, 2021)

A merit function approach for evolution strategies. - Youssef Diouane (EURO J. Comput. Optim., 2021)

Worst-Case Complexity Bounds of Directional Direct-Search Methods for Multiobjective Optimization. - Ana Luísa Custódio; Youssef Diouane; Rohollah Garmanjani; Elisa Riccietti (J. Optim. Theory Appl., 2021)

Complexity iteration analysis for strongly convex multi-objective optimization using a Newton path-following procedure. - El Houcine Bergou; Youssef Diouane; Vyacheslav Kungurtsev (Optim. Lett., 2021)

A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Least-Squares Problems. - El Houcine Bergou; Youssef Diouane; Vyacheslav Kungurtsev; Clément W. Royer (SIAM J. Sci. Comput., 2021)

A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning. - Youssef Diouane; Aurélien Lucchi; Vihang Prakash Patil (AISTATS, 2022)

A general error analysis for randomized low-rank approximation methods. - Youssef Diouane; Selime Gürol; Alexandre Scotto Di Perrotolo; Xavier Vasseur (CoRR, 2022)

An outer approximation bi-level framework for mixed categorical structural optimization problems. - Pierre-Jean Barjhoux; Youssef Diouane; Stéphane Grihon; Joseph Morlier (CoRR, 2022)

Impact of correlated observation errors on the convergence of the conjugate gradient algorithm in variational data assimilation. - Olivier Goux; Selime Gürol; Anthony T. Weaver; Oliver Guillet; Youssef Diouane (CoRR, 2022)

A Stochastic Levenberg-Marquardt Method Using Random Models with Complexity Results. - El Houcine Bergou; Youssef Diouane; Vyacheslav Kungurtsev; Clément W. Royer (SIAM/ASA J. Uncertain. Quantification, 2022)

A Subsampling Line-Search Method with Second-Order Results. - El Houcine Bergou; Youssef Diouane; Vladimir Kunc; Vyacheslav Kungurtsev; Clément W. Royer (INFORMS J. Optim., 2022)

High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft. - Paul Saves; Youssef Diouane; Nathalie Bartoli; Thierry Lefebvre; Joseph Morlier (CoRR, 2023)

A mixed-categorical correlation kernel for Gaussian process. - Paul Saves; Youssef Diouane; Nathalie Bartoli; Thierry Lefebvre; Joseph Morlier (Neurocomputing, 2023)

TREGO: a trust-region framework for efficient global optimization. - Youssef Diouane; Victor Picheny; Rodolphe Le Riche; Alexandre Scotto Di Perrotolo (J. Glob. Optim., 2023)

A general error analysis for randomized low-rank approximation with application to data assimilation. - Alexandre Scotto Di Perrotolo; Youssef Diouane; Selime Gürol; Xavier Vasseur (CoRR, 2024)

A graph-structured distance for heterogeneous datasets with meta variables. - Edward Hallé-Hannan; Charles Audet; Youssef Diouane; Sébastien Le Digabel; Paul Saves (CoRR, 2024)

A Stochastic Iteratively Regularized Gauss-Newton Method. - El Houcine Bergou; Neil K. Chada; Youssef Diouane (CoRR, 2024)

A Proximal Modified Quasi-Newton Method for Nonsmooth Regularized Optimization. - Youssef Diouane; Mohamed Laghdaf Habiboullah; Dominique Orban (CoRR, 2024)

An Efficient Scaled spectral preconditioner for sequences of symmetric positive definite linear systems. - Youssef Diouane; Selime Gürol; Oussama Mouhtal; Dominique Orban (CoRR, 2024)

Impact of correlated observation errors on the conditioning of variational data assimilation problems. - Olivier Goux; Selime Gürol; Anthony T. Weaver; Youssef Diouane; Oliver Guillet (Numer. Linear Algebra Appl., 2024)

SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes. - Paul Saves; Rémi Lafage; Nathalie Bartoli; Youssef Diouane; Jasper H. Bussemaker; Thierry Lefebvre; John T. Hwang; Joseph Morlier; Joaquim R. R. A. Martins (Adv. Eng. Softw., 2024)

Inexact direct-search methods for bilevel optimization problems. - Youssef Diouane; Vyacheslav Kungurtsev; Francesco Rinaldi; Damiano Zeffiro (Comput. Optim. Appl., 2024)

High-Dimensional Bayesian Optimization Using Both Random and Supervised Embeddings. - Rémy Priem; Youssef Diouane; Nathalie Bartoli; Sylvain Dubreuil; Paul Saves (CoRR, 2025)

Min-Max Optimisation for Nonconvex-Nonconcave Functions Using a Random Zeroth-Order Extragradient Algorithm. - Amir Ali Farzin; Yuen-Man Pun; Philipp Braun; Antoine Lesage-Landry; Youssef Diouane; Iman Shames (CoRR, 2025)

Regularized infill criteria for multi-objective Bayesian optimization with application to aircraft design. - Robin Grapin; Youssef Diouane; Joseph Morlier; Nathalie Bartoli; Thierry Lefebvre; Paul Saves; Jasper H. Bussemaker (CoRR, 2025)

Bayesian optimization for mixed variables using an adaptive dimension reduction process: applications to aircraft design. - Paul Saves; Nathalie Bartoli; Youssef Diouane; Thierry Lefebvre; Joseph Morlier; Christophe David; Eric Nguyen Van; Sébastien Defoort (CoRR, 2025)

Multi-objective Bayesian Optimization With Mixed-categorical Design Variables for Expensive-to-evaluate Aeronautical Applications. - 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 (CoRR, 2025)

Hierarchical Modeling and Architecture Optimization: Review and Unified Framework. - Paul Saves; Edward Hallé-Hannan; Jasper H. Bussemaker; Youssef Diouane; Nathalie Bartoli (CoRR, 2025)

System-of-systems Modeling and Optimization: An Integrated Framework for Intermodal Mobility. - Paul Saves; Jasper H. Bussemaker; Rémi Lafage; Thierry Lefebvre; Nathalie Bartoli; Youssef Diouane; Joseph Morlier (CoRR, 2025)