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09/15/2023
Augmented quantization: a general approach to mixture models
The investigation of mixture models is a key to understand and visualize...
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08/18/2023
FunQuant: A R package to perform quantization in the context of rare events and time-consuming simulations
Quantization summarizes continuous distributions by calculating a discre...
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07/25/2022
Quantizing rare random maps: application to flooding visualization
Visualization is an essential operation when assessing the risk of rare ...
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10/30/2021
A comparison of mixed-variables Bayesian optimization approaches
Most real optimization problems are defined over a mixed search space wh...
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03/30/2021
Revisiting Bayesian Optimization in the light of the COCO benchmark
It is commonly believed that Bayesian optimization (BO) algorithms are h...
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03/09/2021
A sampling criterion for constrained Bayesian optimization with uncertainties
We consider the problem of chance constrained optimization where it is s...
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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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08/29/2019
Modeling and Optimization with Gaussian Processes in Reduced Eigenbases – Extended Version
Parametric shape optimization aims at minimizing an objective function f...
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04/18/2019
Safety-margin-based design and redesign considering mixed epistemic model uncertainty and aleatory parameter uncertainty
At the initial design stage engineers often rely on low-fidelity models ...
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11/12/2018
Global sensitivity analysis for optimization with variable selection
The optimization of high dimensional functions is a key issue in enginee...
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11/09/2018
Targeting Solutions in Bayesian Multi-Objective Optimization: Sequential and Parallel Versions
Multi-objective optimization aims at finding trade-off solutions to conf...
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09/27/2018
Budgeted Multi-Objective Optimization with a Focus on the Central Part of the Pareto Front - Extended Version
Optimizing nonlinear systems involving expensive (computer) experiments ...
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03/08/2016
Small ensembles of kriging models for optimization
The Efficient Global Optimization (EGO) algorithm uses a conditional Gau...
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02/02/2016
