Youssef Diouane

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 27

Top Venues

CoRR

J. Optim. Theory Appl.

AISTATS

Comput. Optim. Appl.

National Polytechnic Institute of Toulouse, France (PHD)

Education History

National Polytechnic Institute of Toulouse, France

PHD

Publications

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 (2024)
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)
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) (2023)
Paul Saves, Rémi Lafage, Nathalie Bartoli, Youssef Diouane, Jasper 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 (2023)
Paul Saves, Youssef Diouane, Nathalie Bartoli, Thierry Lefebvre, Joseph Morlier
A mixed-categorical correlation kernel for Gaussian process. Neurocomputing 550 (2023)
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 (2023)
Youssef Diouane, Aurélien Lucchi, Vihang Prakash Patil
A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning. AISTATS (2022)
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) (2022)
Youssef Diouane, Aurélien Lucchi, Vihang Patil
A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning. CoRR (2022)
Pierre-Jean Barjhoux, Youssef Diouane, Stéphane Grihon, Joseph Morlier
An outer approximation bi-level framework for mixed categorical structural optimization problems. CoRR (2022)
P. Saves, Youssef Diouane, Nathalie Bartoli, T. Lefebvre, Joseph Morlier
A mixed-categorical correlation kernel for Gaussian process. CoRR (2022)
Youssef Diouane, Selime Gürol, Alexandre Scotto Di Perrotolo, Xavier Vasseur
A general error analysis for randomized low-rank approximation methods. CoRR (2022)
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 (2022)
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) (2021)
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) (2021)
Sotiris Anagnostidis, Aurélien Lucchi, Youssef Diouane
Direct-Search for a Class of Stochastic Min-Max Problems. CoRR (2021)
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) (2021)
Sotirios-Konstantinos Anagnostidis, Aurélien Lucchi, Youssef Diouane
Direct-Search for a Class of Stochastic Min-Max Problems. AISTATS (2021)
Youssef Diouane
A merit function approach for evolution strategies. EURO J. Comput. Optim. 9 (2021)
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) (2020)
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 (2020)
Rémy Priem, Nathalie Bartoli, Youssef Diouane, Alessandro Sgueglia
Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design. CoRR (2020)
El Houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev, Clément W. Royer
A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Inverse Problems. CoRR (2020)
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) (2018)
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) (2017)
Youssef Diouane, Serge Gratton, Luís Nunes Vicente
Globally convergent evolution strategies. Math. Program. 152 (1-2) (2015)
Youssef Diouane, Serge Gratton, Luís Nunes Vicente
Globally convergent evolution strategies for constrained optimization. Comput. Optim. Appl. 62 (2) (2015)

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Publication Activity (10 Years)

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Youssef Diouane