Youssef Diouane

Orcid: 0000-0002-6609-7330

According to our database1, Youssef Diouane authored at least 25 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes.
Adv. Eng. Softw., February, 2024

Impact of correlated observation errors on the conditioning of variational data assimilation problems.
Numer. Linear Algebra Appl., January, 2024

2023
TREGO: a trust-region framework for efficient global optimization.
J. Glob. Optim., May, 2023

A mixed-categorical correlation kernel for Gaussian process.
Neurocomputing, 2023

High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft.
CoRR, 2023

2022
A Subsampling Line-Search Method with Second-Order Results.
INFORMS J. Optim., October, 2022

A Stochastic Levenberg-Marquardt Method Using Random Models with Complexity Results.
SIAM/ASA J. Uncertain. Quantification, 2022

Impact of correlated observation errors on the convergence of the conjugate gradient algorithm in variational data assimilation.
CoRR, 2022

An outer approximation bi-level framework for mixed categorical structural optimization problems.
CoRR, 2022

A general error analysis for randomized low-rank approximation methods.
CoRR, 2022

A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Least-Squares Problems.
SIAM J. Sci. Comput., 2021

Complexity iteration analysis for strongly convex multi-objective optimization using a Newton path-following procedure.
Optim. Lett., 2021

Worst-Case Complexity Bounds of Directional Direct-Search Methods for Multiobjective Optimization.
J. Optim. Theory Appl., 2021

A merit function approach for evolution strategies.
EURO J. Comput. Optim., 2021

Direct-Search for a Class of Stochastic Min-Max Problems.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Convergence and Complexity Analysis of a Levenberg-Marquardt Algorithm for Inverse Problems.
J. Optim. Theory Appl., 2020

A Nonmonotone Matrix-Free Algorithm for Nonlinear Equality-Constrained Inverse Problems.
CoRR, 2020

An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design.
CoRR, 2020

Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design.
CoRR, 2020

2018
A Line-Search Algorithm Inspired by the Adaptive Cubic Regularization Framework and Complexity Analysis.
J. Optim. Theory Appl., 2018

2017
On the use of the energy norm in trust-region and adaptive cubic regularization subproblems.
Comput. Optim. Appl., 2017

2015
Globally convergent evolution strategies.
Math. Program., 2015

Globally convergent evolution strategies for constrained optimization.
Comput. Optim. Appl., 2015

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).
PhD thesis, 2014


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