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ORCIDYoussef Diouane
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Books and Theses
- 2014
[b1]Youssef Diouane:
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). National Polytechnic Institute of Toulouse, France, 2014
Journal Articles
- 2024
- [j16]Paul Saves
, Rémi Lafage, Nathalie Bartoli, Youssef Diouane, Jasper H. Bussemaker, Thierry Lefebvre, John T. Hwang, Joseph Morlier, Joaquim R. R. A. Martins:
SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes. Adv. Eng. Softw. 188: 103571 (2024) - [j15]Youssef Diouane, Vyacheslav Kungurtsev, Francesco Rinaldi, Damiano Zeffiro:
Inexact direct-search methods for bilevel optimization problems. Comput. Optim. Appl. 88(2): 469-490 (2024) - [j14]Olivier Goux, Selime Gürol, Anthony T. Weaver, Youssef Diouane, Oliver Guillet:
Impact of correlated observation errors on the conditioning of variational data assimilation problems. Numer. Linear Algebra Appl. 31(1) (2024) - 2023
- [j13]Paul Saves, Youssef Diouane, Nathalie Bartoli, Thierry Lefebvre, Joseph Morlier:
A mixed-categorical correlation kernel for Gaussian process. Neurocomputing 550: 126472 (2023) - [j12]Youssef Diouane, Victor Picheny, Rodolphe Le Riche, Alexandre Scotto Di Perrotolo:
TREGO: a trust-region framework for efficient global optimization. J. Glob. Optim. 86(1): 1-23 (2023) - 2022
- [j11]El Houcine Bergou, Youssef Diouane, Vladimir Kunc, Vyacheslav Kungurtsev, Clément W. Royer:
A Subsampling Line-Search Method with Second-Order Results. INFORMS J. Optim. 4(4): 403-425 (2022) - [j10]El Houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev, Clément W. Royer:
A Stochastic Levenberg-Marquardt Method Using Random Models with Complexity Results. SIAM/ASA J. Uncertain. Quantification 10(1): 507-536 (2022) - 2021
- [j9]Youssef Diouane:
A merit function approach for evolution strategies. EURO J. Comput. Optim. 9: 100001 (2021) - [j8]Ana Luísa Custódio, Youssef Diouane, Rohollah Garmanjani, Elisa Riccietti:
Worst-Case Complexity Bounds of Directional Direct-Search Methods for Multiobjective Optimization. J. Optim. Theory Appl. 188(1): 73-93 (2021) - [j7]El Houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev:
Complexity iteration analysis for strongly convex multi-objective optimization using a Newton path-following procedure. Optim. Lett. 15(4): 1215-1227 (2021) - [j6]El Houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev, Clément W. Royer:
A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Least-Squares Problems. SIAM J. Sci. Comput. 43(5): S743-S766 (2021) - 2020
- [j5]El Houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev:
Convergence and Complexity Analysis of a Levenberg-Marquardt Algorithm for Inverse Problems. J. Optim. Theory Appl. 185(3): 927-944 (2020) - 2018
- [j4]El Houcine Bergou, Youssef Diouane, Serge Gratton:
A Line-Search Algorithm Inspired by the Adaptive Cubic Regularization Framework and Complexity Analysis. J. Optim. Theory Appl. 178(3): 885-913 (2018) - 2017
- [j3]El Houcine Bergou, Youssef Diouane, Serge Gratton:
On the use of the energy norm in trust-region and adaptive cubic regularization subproblems. Comput. Optim. Appl. 68(3): 533-554 (2017) - 2015
- [j2]Youssef Diouane, Serge Gratton, Luís Nunes Vicente:
Globally convergent evolution strategies for constrained optimization. Comput. Optim. Appl. 62(2): 323-346 (2015) - [j1]Youssef Diouane, Serge Gratton, Luís Nunes Vicente:
Globally convergent evolution strategies. Math. Program. 152(1-2): 467-490 (2015)
Conference and Workshop Papers
- 2022
- [c2]Youssef Diouane, Aurélien Lucchi, Vihang Prakash Patil:
A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning. AISTATS 2022: 836-859 - 2021
- [c1]Sotirios-Konstantinos Anagnostidis, Aurélien Lucchi, Youssef Diouane:
Direct-Search for a Class of Stochastic Min-Max Problems. AISTATS 2021: 3772-3780
Informal and Other Publications
- 2024
- [i16]Alexandre Scotto Di Perrotolo, Youssef Diouane, Selime Gürol, Xavier Vasseur:
A general error analysis for randomized low-rank approximation with application to data assimilation. CoRR abs/2405.04811 (2024) - [i15]Edward Hallé-Hannan, Charles Audet, Youssef Diouane, Sébastien Le Digabel, Paul Saves:
A graph-structured distance for heterogeneous datasets with meta variables. CoRR abs/2405.13073 (2024) - [i14]El Houcine Bergou, Neil K. Chada, Youssef Diouane:
A Stochastic Iteratively Regularized Gauss-Newton Method. CoRR abs/2409.12381 (2024) - [i13]Youssef Diouane, Mohamed Laghdaf Habiboullah, Dominique Orban:
A Proximal Modified Quasi-Newton Method for Nonsmooth Regularized Optimization. CoRR abs/2409.19428 (2024) - [i12]Youssef Diouane, Selime Gürol, Oussama Mouhtal, Dominique Orban:
An Efficient Scaled spectral preconditioner for sequences of symmetric positive definite linear systems. CoRR abs/2410.02204 (2024) - 2023
- [i11]Paul Saves, Rémi Lafage, Nathalie Bartoli, Youssef Diouane, Jasper H. Bussemaker, Thierry Lefebvre, John T. Hwang, Joseph Morlier, Joaquim R. R. A. Martins:
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes. CoRR abs/2305.13998 (2023) - [i10]Paul Saves, Youssef Diouane, Nathalie Bartoli, Thierry Lefebvre, Joseph Morlier:
High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft. CoRR abs/2311.06130 (2023) - 2022
- [i9]Youssef Diouane, Aurélien Lucchi, Vihang Patil:
A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning. CoRR abs/2202.10464 (2022) - [i8]Youssef Diouane, Selime Gürol, Alexandre Scotto Di Perrotolo, Xavier Vasseur:
A general error analysis for randomized low-rank approximation methods. CoRR abs/2206.08793 (2022) - [i7]Pierre-Jean Barjhoux, Youssef Diouane, Stéphane Grihon, Joseph Morlier:
An outer approximation bi-level framework for mixed categorical structural optimization problems. CoRR abs/2207.05314 (2022) - [i6]Paul Saves, Youssef Diouane, Nathalie Bartoli, Thierry Lefebvre, Joseph Morlier:
A mixed-categorical correlation kernel for Gaussian process. CoRR abs/2211.08262 (2022) - [i5]Olivier Goux, Selime Gürol, Anthony T. Weaver, Oliver Guillet, Youssef Diouane:
Impact of correlated observation errors on the convergence of the conjugate gradient algorithm in variational data assimilation. CoRR abs/2212.02305 (2022) - 2021
- [i4]Sotiris Anagnostidis, Aurélien Lucchi, Youssef Diouane:
Direct-Search for a Class of Stochastic Min-Max Problems. CoRR abs/2102.11386 (2021) - 2020
- [i3]Rémy Priem, Nathalie Bartoli, Youssef Diouane, Alessandro Sgueglia:
Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design. CoRR abs/2005.05067 (2020) - [i2]Rémy Priem, Hugo Gagnon, Ian Chittick, Stephane Dufresne, Youssef Diouane, Nathalie Bartoli:
An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design. CoRR abs/2006.08434 (2020) - [i1]El Houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev, Clément W. Royer:
A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Inverse Problems. CoRR abs/2006.16340 (2020)
Coauthor Index
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