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05/23/2023
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes
The Surrogate Modeling Toolbox (SMT) is an open-source Python package th...
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12/05/2022
Impact of correlated observation errors on the convergence of the conjugate gradient algorithm in variational data assimilation
An important class of nonlinear weighted least-squares problems arises f...
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07/12/2022
An outer approximation bi-level framework for mixed categorical structural optimization problems
In this paper, mixed categorical structural optimization problems are in...
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06/17/2022
A general error analysis for randomized low-rank approximation methods
We propose a general error analysis related to the low-rank approximatio...
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02/21/2022
A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning
Evolutionary strategies have recently been shown to achieve competing le...
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02/22/2021
Direct-Search for a Class of Stochastic Min-Max Problems
Recent applications in machine learning have renewed the interest of the...
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01/18/2021
TREGO: a Trust-Region Framework for Efficient Global Optimization
Efficient Global Optimization (EGO) is the canonical form of Bayesian op...
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06/12/2020
An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design
The multi-level, multi-disciplinary and multi-fidelity optimization fram...
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05/11/2020