GAUDRIE - David

Toutes les publications (28)
Date/Type Titre/URL/journal Domaines Notes SJR/Core Cit. GScholar
2024
COMM
David Gaudrie, Rodolphe Le Riche, Tanguy Appriou
An Empirical Case of Gaussian Processes Learning in High Dimension: the Likelihood versus Leave-One-Out Rivalry
SIAM Conference on Uncertainty Quantification (UQ24) - 2024
Informatique/Intelligence artificielle
2024
UNDEFINED
Tanguy Appriou, Didier Rullière, David Gaudrie
High-dimensional Bayesian Optimization with a Combination of Kriging models
Statistiques
2023
COMM
David Gaudrie, Rodolphe Le Riche, Victor Picheny
Modeling and Optimization with Gaussian Processes in Reduced Eigenbases
Machine Learning, Optimization and Manifolds (MLOMA) - 2023
Maths
2023
COMM
Tanguy Appriou, David Gaudrie, Didier Rullière
Bayesian Optimization For High-Dimensional Problems Using A Combination Of Kriging Surrogate Models
Journées Scientifiques du CIROQUO - 2023
Maths
2023
POSTER
Tanguy Appriou, Didier Rullière, David Gaudrie
Bayesian Optimization in High-dimension via a Combination of Kriging sub-models
Maths
2023
ART
Tanguy Appriou, Didier Rullière, David Gaudrie
Combination of Optimization-free Kriging Models for High-Dimensional Problems
Computational Statistics - 2023
Maths
2022
COMM
Rodolphe Le Riche, David Gaudrie, Victor Picheny, Youssef Diouane, Adrien Spagnol, Sébastien da Veiga
Which Gaussian Process for Bayesian Optimization ?
2022 Optimization Days - 2022
Maths
2022
COMM
Rodolphe Le Riche, David Gaudrie, Jhouben Cuesta-Ramirez, Sami Ben Elhaj Salah, Olivier Roustant, Victor Picheny, Nicolas Durrande, Xavier Bay, Julien Bruchon, Nicolas Moulin
A discussion of the current and potential uses of Gaussian Processes in mechanics
Journée scientifique de la SF2M: matériau numérique - 2022
Maths
2020
COMM
Rodolphe Le Riche, Adrien Spagnol, David Gaudrie, Sébastien da Veiga, Victor Picheny
Reducing dimension in Bayesian Optimization
LIMOS internal seminar - 2020
Maths
2020
ART
David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoit Enaux, Vincent Herbert
Modeling and Optimization with Gaussian Processes in Reduced Eigenbases
Structural and Multidisciplinary Optimization - 2020
Maths
2019
COMM
David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoit Enaux, Vincent Herbert
Bayesian Optimization in Reduced Eigenbases
PGMO Days 2019 - 2019
Statistiques
2019
COMM
David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoit Enaux, Vincent Herbert
Budgeted Bayesian Multiobjective Optimization
Journées de la Chaire Oquaido 2019 - 2019
Statistiques
2019
COMM
David Gaudrie, Rodolphe Le Riche, Victor Picheny
Faster Multi-Objective Optimization: Cumulating Gaussian Processes, Preference Point and Parallelism
19th French-German-Swiss conference on optimization - 2019
Maths
2019
UNDEFINED
David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoît Enaux, Vincent Herbert
Modeling and Optimization with Gaussian Processes in Reduced Eigenbases - Extended Version
Maths
2019
ART
David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoit Enaux, Vincent Herbert
Targeting Solutions in Bayesian Multi-Objective Optimization: Sequential and Batch Versions
Annals of Mathematics and Artificial Intelligence - 2019
Maths
2019
COMM
Victor Picheny, David Gaudrie, Rodolphe Le Riche, Benoît Enaux, Vincent Herbert
From CAD to Eigenshapes for Surrogate-based Optimization
13th World Congress of Structural and Multidisciplinary Optimization - 2019
Maths
2019
COMM
David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoit Enaux, Vincent Herbert
From CAD to Eigenshapes for Surrogate-based Optimization
13th World Congress of Structural and Multidisciplinary Optimization - 2019
Statistiques
2019
COMM
David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoit Enaux, Vincent Herbert
Multi-objective Bayesian optimization with reference point: sequential and parallel versions
Mascot-Num annual conference - 2019
Maths
2018
COMM
David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoît Enaux, Vincent Helbert
Restricting ambitions in global multi-objective optimization of costly functions
Seminar at the ONERA: DMS/DTIS (ARF STOCHASTIQUE) - 2018
Maths
2018
POSTER
David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoît Enaux, Vincent Herbert
Dimension Reduction for Shape Optimization
Statistiques
2018
COMM
David Gaudrie, Rodolphe Le Riche, Victor Picheny
Achievable Goals in Bayesian Multi-Objective Optimization
Journées du GdR MOA - 2018
Maths
2018
UNDEFINED
David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoît Enaux, Vincent Herbert
Budgeted Multi-Objective Optimization with a Focus on the Central Part of the Pareto Front - Extended Version
Informatique/Modélisation et simulation
2018
COMM
David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoît Enaux, Vincent Herbert
Targeting Well-Balanced Solutions in Multi-Objective Bayesian Optimization under a Restricted Budget
12th International Conference on Learning and Intelligent Optimization - 2018
Maths
2018
COMM
Victor Picheny, David Gaudrie, Rodolphe Le Riche, Benoît Enaux, Vincent Herbert
Targeting Well-Balanced Solutions in Multi-Objective Bayesian Optimization Under a Restricted Budget
International Conference on Learning and Intelligent Optimization (LION'18) - 2018
Maths
2018
COMM
David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoît Enaux, Vincent Herbert
Targeting Well-Balanced Solutions in Bayesian Multi-Objective Optimization under a Restricted Budget
Journées du GdR Mascot-Num 2018 - 2018
Maths
2018
POSTER
David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoît Enaux, Vincent Herbert
Targeting Well-Balanced Solutions in Multi-Objective Bayesian Optimization under a Restricted Budget
Maths
2017
POSTER
David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoît Enaux, Vincent Herbert
Targeting Well-Balanced Solutions in Multi-Objective Bayesian Optimization under a Restricted Budget
Maths
2017
COMM
David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoît Enaux, Vincent Herbert
Targeting well-balanced solutions in multi-objective bayesian optimization under a restricted budget
PGMO Days 2017 - 2017
Maths