LE RICHE - Rodolphe
Toutes les publications (111)
| Date/Type | Titre/URL/journal | Domaines | Notes SJR/Core | Cit. GScholar |
|---|---|---|---|---|
| 2026
UNDEFINED |
Rui Ma, Rodolphe Le Riche
On ℓ 0 -Regularized Sparse Multiple Kernel Learning for Feature Selection |
Statistiques | ||
| 2026
COMM |
Razak C. Sabi Gninkou, Andrés F. López-Lopera, Franck Massa, Rodolphe Le Riche
Multitask Gaussian Process with Functional Covariates 57es Journées de Statistique de la SFdS - 2026 |
Maths | ||
| 2026
UNDEFINED |
Lucas Brunel, Mathieu Balesdent, Loïc Brevault, Rodolphe Le Riche, Bruno Sudret
Active learning strategy for excursion-set confidence regions of functional simulator outputs |
Maths | ||
| 2026
COMM |
Victor Trappler, Rodolphe Le Riche, Kevin Taurines
Critères d'optimisation multiobjectif avec incertitudes: de la robustesse à la comparaison de scénarios 17ème Colloque National en Calcul des Structures - 2026 |
Sciences de l'ingenieur | ||
| 2026
COMM |
Maxime Doya, Emmanuel Bozonnet, Boris Brangeon, Rodolphe Le Riche, Kevin Taurines
Modélisation de l'occupation de bâtiments par modèles stochastiques pour une optimisation multiobjectif sous incertitudes Conférence IBPSA France 2026 - 2026 |
Sciences de l'ingenieur | ||
| 2026
UNDEFINED |
Soumyodeep Mukhopadhyay, Didier Rullière, Rodolphe Le Riche, David Gaudrie, Xavier Bay, Laurent Genest, David Gaudrie
Optimal Linear Interpolation under Differential Information: application to the prediction of perfect flows |
Informatique/Analyse numérique | ||
| 2026
UNDEFINED |
Razak Christophe Sabi Gninkou, Andrés F. López-Lopera, Franck Massa, Rodolphe Le Riche
Scalable multitask Gaussian processes for complex mechanical systems with functional covariates |
Sciences de l'ingenieur | ||
| 2026
COMM |
Rodolphe Le Riche
Including domain knowledge in Bayesian Optimization Dagstuhl Seminar 26072: Best Practice for Leveraging Domain Knowledge in Real-World Optimization - 2026 |
Informatique/Recherche opérationnelle | ||
| 2025
UNDEFINED |
Charlie Sire, Didier Rullière, Rodolphe Le Riche, Jérémy Rohmer, Yann Richet, Lucie Pheulpin
Augmented Quantization: Mixture Models for Risk-Oriented Sensitivity Analysis |
Statistiques | ||
| 2025
COMM |
Soumyodeep Mukhopadhyay, Didier Rullière, Rodolphe Le Riche, Xavier Bay, Laurent Genest, David Gaudrie
Optimal Linear Interpolation under Differential Information: application to prediction of perfect flows PGMO (Programme Gaspard Monge pour l'Optimisation) DAYS 2025 - 2025 |
Informatique/Modélisation et simulation | ||
| 2025
COMM |
Soumyodeep Mukhopadhyay, Didier Rullière, Rodolphe Le Riche, Laurent Genest, David Gaudrie
Optimal Linear Interpolation under Differential Information: application in fluid dynamics Journées Scientifiques du consortium CIROQUO - 2025 |
Informatique/Modélisation et simulation | ||
| 2025
POSTER |
Didier Rullière, Rodolphe Le Riche, Xavier Bay, Soumyodeep Mukhopadhyay, Victor Trappler, Hassan Maatouk, Tanguy Appriou, Laurent Genest, David Gaudrie, Marc Grossouvre, Christophette Blanchet-Scalliet, Céline Helbert, Sébastien da Veiga, Julien Pelamatti, Reda El Amri, Youssef Diouane, Victor Picheny, Alexandre Scotto Di Perrotolo
Gaussian Processes: from knowledge-informed Machine Learning to optimization |
Informatique/Apprentissage | ||
| 2025
POSTER |
Soumyodeep Mukhopadhyay, Rodolphe Le Riche, Xavier Bay, Didier Rullière, Laurent Genest, David Gaudrie
Multi-output Gaussian Process Regression: from shape parameters to vector-valued fluid flow |
Informatique/Modélisation et simulation | ||
| 2025
POSTER |
Mohamed Gharafi, Nikolaus Hansen, Rodolphe Le Riche, Dimo Brockhoff
Rank-based Linear-Quadratic Surrogate Assisted CMA-ES |
Informatique/Apprentissage | ||
| 2025
POSTER |
Soumyodeep Mukhopadhyay, Didier Rullière, Rodolphe Le Riche, Xavier Bay, Laurent Genest, David Gaudrie
Kriging under differential information: application to prediction of perfect flows |
Informatique/Modélisation et simulation | ||
| 2025
COMM |
Guillaume Perrin, Rodolphe Le Riche
Bayesian optimization with derivatives acceleration Journée Parcimonie, Optimisation et Problèmes Inverses Lyon Saint-Etienne Savoie (POPILSS 2025) - 2025 |
Informatique/Recherche opérationnelle | ||
| 2025
COMM |
Kevin Taurines, Rodolphe Le Riche, Boris Brangeon, Maxime Doya
Multiobjective Optimization With Uncertainties and Discrete Meta-Variables : The Case Of Building Energy Refurbishment Math to Product (M2P) - 2025 |
Informatique/Modélisation et simulation | ||
| 2025
POSTER |
Soumyodeep Mukhopadhyay, Didier Rullière, Rodolphe Le Riche, Xavier Bay, Laurent Genest, David Gaudrie
Collocation-based kriging with applications to the prediction of perfect flows |
Informatique/Modélisation et simulation | ||
| 2025
ART |
Lucas Brunel, Mathieu Balesdent, Loïc Brevault, Rodolphe Le Riche, Bruno Sudret
A survey on multi-fidelity surrogates for simulators with functional outputs: unified framework and benchmark Computer Methods in Applied Mechanics and Engineering - 2025 |
Physique | ||
| 2025
UNDEFINED |
Victor Trappler, Céline Helbert, Rodolphe Le Riche
Multiobjective Optimization under Uncertainties using Conditional Pareto Fronts |
Maths | ||
| 2024
COMM |
Babacar Sow, Rodolphe Le Riche, Julien Pelamatti, Merlin Keller, Sanaa Zannane
Optimization and metamodeling of functions defined over clouds of points workshop SAMOURAI - 2024 |
Informatique/Recherche opérationnelle | ||
| 2024
COMM |
Victor Trappler, Céline Helbert, Christophette Blanchet-Scalliet, Rodolphe Le Riche
Multiobjective Bayesian Optimization under uncertainties Rencontres annuelles 2024 du réseau Mexico - 2024 |
Statistiques | ||
| 2024
ART |
Babacar Sow, Rodolphe Le Riche, Julien Pelamatti, Merlin Keller, Sanaa Zannane
Wasserstein-Based Evolutionary Operators for Optimizing Sets of Points: Application to Wind-Farm Layout Design Applied Sciences - 2024 |
Sciences de l'environnement | ||
| 2024
ART |
Olivier Boissier, Sandrine Berger-Douce, Rodolphe Le Riche, Florent Breuil
L'Institut Henri Fayol MINES, La Revue des Ingénieurs, Paris - Saint-Etienne - Nancy - 2024 |
Informatique/Modélisation et simulation | ||
| 2024
ART |
Guillaume Perrin, Rodolphe Le Riche
Bayesian optimization with derivatives acceleration Transactions on Machine Learning Research Journal - 2024 |
Informatique/Recherche opérationnelle | ||
| 2024
COMM |
Guillaume Perrin, Rodolphe Le Riche
Bayesian optimization with derivatives acceleration Workshop on Bayesian optimization & related topics - 2024 |
Informatique/Recherche opérationnelle | ||
| 2024
COMM |
Babacar Sow, Rodolphe Le Riche, Julien Pelamatti, Merlin Keller, Sanaa Zannane
Optimization of functions defined over sets of points in polygons with evolutionary algorithms based on Wasserstein barycenters FGS Conference on Optimization 2024 : French German Spanish conference on optimization - 2024 |
Informatique/Modélisation et simulation | ||
| 2024
COMM |
Lucas Brunel, Mathieu Balesdent, Loïc Brevault, Rodolphe Le Riche, Bruno Sudret
Uncertainty quantification oriented active learning for surrogates of simulators with functional outputs 9th european congress on computational methods in applied sciences and engineering (ECCOMAS 2024) - 2024 |
Statistiques | ||
| 2024
COMM |
Sami Ben Elhaj Salah, Rodolphe Le Riche, Julien Bruchon, Nicolas Moulin
Génération de champs aléatoires de perméabilité pour les composites par méthodes à noyaux 16ème Colloque National en Calcul de Structures (CSMA 2024) - 2024 |
Sciences de l'ingenieur | ||
| 2024
POSTER |
Babacar Sow, Rodolphe Le Riche, Julien Pelamatti, Merlin Keller, Sanaa Zannane
Clouds of points optimization in convex polygons with evolutionary algorithms based on Wasserstein barycenters |
Statistiques | ||
| 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
COMM |
Charlie Sire, Rodolphe Le Riche, Didier Rullière, Jérémy Rohmer, Lucie Pheulpin, Yann Richet
Augmented Quantization: a General Approach to Mixture Models UQ 2024 - SIAM Conference on Uncertainty Quantification - 2024 |
Statistiques | ||
| 2024
COMM |
Céline Helbert, Reda El Amri, Rodolphe Le Riche, Christophette Blanchet-Scalliet, Sébastien da Veiga
EFISUR A sampling criterion for constrained bayesian optimization with uncertainties SIAM UQ - 2024 |
Maths | ||
| 2024
REPORT |
Christophette Blanchet-Scalliet, Céline Helbert, Delphine Sinoquet, Miguel Munoz Munoz Zuniga, Rodolphe Le Riche, Didier Rullière, Clémentine Prieur, Olivier Zahm, Josselin Garnier, Dimo Brockhoff, Olivier Roustant, François Bachoc, Luc Pronzato, Yann Richet, Jérémy Rohmer, Frédéric Huguet, David Gaudrie, Amandine Marrel, Baptiste Kerleguer, Thomas Perrillat-Bottonet, Cedric Durantin
Activity report ciroquo research & industry consortium |
Sciences de l'ingenieur | ||
| 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 |
Informatique/Recherche opérationnelle | ||
| 2023
ART |
Reda El Amri, Rodolphe Le Riche, Céline Helbert, Christophette Blanchet-Scalliet, Sébastien da Veiga
A sampling criterion for constrained Bayesian optimization with uncertainties SMAI Journal of Computational Mathematics - 2023 |
Informatique/Intelligence artificielle | ||
| 2023
COMM |
Babacar Sow, Rodolphe Le Riche, Julien Pelamatti, Merlin Keller, Sanaa Zannane
Wasserstein Barycenter-based Evolutionary Algorithm for the optimization of sets of points PGMO DAYS 2023 - 2023 |
Informatique/Modélisation et simulation | ||
| 2023
POSTER |
Lucas Brunel, Mathieu Balesdent, Loïc Brevault, Rodolphe Le Riche, Bruno Sudret
A review of multi-fidelity surrogate models for high dimensional field outputs |
Informatique/Modélisation et simulation | ||
| 2023
COMM |
Victor Charpenay, Rodolphe Le Riche
How Many Dimensions for your Latent Model? A Cross-Domain Perspective Data&IA@IMT webinar - 2023 |
Informatique/Intelligence artificielle | ||
| 2023
UNDEFINED |
Charlie Sire, Yann Richet, Rodolphe Le Riche, Didier Rullière, Jérémy Rohmer, Lucie Pheulpin
FunQuant: A R package to perform quantization in the context of rare events and time-consuming simulations |
Maths | ||
| 2023
COMM |
Mohamed Gharafi, Nikolaus Hansen, Dimo Brockhoff, Rodolphe Le Riche
Multiobjective optimization with a quadratic surrogate-assisted CMA-ES GECCO 2023 - Genetic and Evolutionary Computation Conference - 2023 |
Informatique/Réseau de neurones | ||
| 2023
LECTURE |
Rodolphe Le Riche
Bayesian and evolutionary optimization: searching from both sides |
Informatique/Recherche opérationnelle | ||
| 2023
ART |
Julien Pelamatti, Rodolphe Le Riche, Céline Helbert, Christophette Blanchet-Scalliet
Coupling and selecting constraints in Bayesian optimization under uncertainties Optimization and Engineering - 2023 |
Informatique/Modélisation et simulation | ||
| 2023
ART |
Clément Laboulfie, Mathieu Balesdent, Loïc Brevault, François-Xavier Irisarri, Jean-François Maire, Sebastien da Veiga, Rodolphe Le Riche
Sequential calibration of material constitutive model using mixed-effects calibration Mechanics & Industry - 2023 |
Sciences de l'ingenieur | ||
| 2023
COMM |
Babacar Sow, Rodolphe Le Riche, Julien Pelamatti, Sanaa Zannane, Merlin Keller
LEARNING FUNCTIONS DEFINED OVER SETS OF VECTORS WITH KERNEL METHODS 5 th ECCOMAS Thematic Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2023) - 2023 |
Informatique/Modélisation et simulation | ||
| 2023
ART |
Charlie Sire, Rodolphe Le Riche, Didier Rullière, Jérémy Rohmer, Lucie Pheulpin, Yann Richet
Quantizing rare random maps: application to flooding visualization Journal of Computational and Graphical Statistics - 2023 |
Maths | ||
| 2023
COMM |
Didier Rullière, Rodolphe Le Riche
On Gaussian Processes for Spatial Modeling and Optimization Joint HUST-LIMOS online Workshop on Operations Research, AI and Networks (ORAIN 2023) - 2023 |
Maths | ||
| 2023
COMM |
Charlie Sire, Rodolphe Le Riche, Didier Rullière, Jérémy Rohmer, Lucie Pheulpin, Yann Richet
Augmented quantization : a general approach to mixture models MASCOT-NUM2023 - 2023 |
Statistiques | ||
| 2023
POSTER |
Babacar Sow, Rodolphe Le Riche, Sanaa Zannane, Merlin Keller, Julien Pelamatti
Cloud of points as discrete measures for Gaussian models and stochastic optimization |
Statistiques | ||
| 2022
COMM |
Clément Laboulfie, Mathieu Balesdent, Loïc Brevault, François-Xavier Irisarri, Jean-François Maire, Sebastien da Veiga, Rodolphe Le Riche
Sequential calibration of material model using mixed-effects 25ème Congrès Français de Mécanique - 2022 |
Informatique/Modélisation et simulation | ||
| 2022
COMM |
Rodolphe Le Riche
Optimization for quantitative decisions: a versatile multi-tasker or an utopia? Ecole d'Ete en Intelligence Artificielle (EEIA 2022) - 2022 |
Sciences de l'homme et de la societe | ||
| 2022
POSTER |
Babacar Sow, Rodolphe Le Riche, Julien Pelamatti, Sanaa Zannane, Merlin Keller
Gaussian Processes Indexed by Clouds of Points: a study Babacar SOW (EMSE, LIMOS), Rodolphe LE RICHE (CNRS, LIMOS) |
Informatique/Modélisation et simulation | ||
| 2022
COMM |
Charlie Sire, Rodolphe Le Riche, Didier Rullière, Jérémy Rohmer, Lucie Pheulpin, Yann Richet
Quantization applied to the visualization of low-probability flooding events The 8th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS 2022) - 2022 |
Sciences de l'ingenieur | ||
| 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 |
Informatique/Ingénierie, finance et science | ||
| 2022
COMM |
Rodolphe Le Riche
De l'optimisation à l'IA pour l'identification : un voyage à travers les small data Modélisation et simulation numérique des matériaux - 2022 |
Informatique/Ingénierie, finance et science | ||
| 2022
COMM |
Charlie Sire, Yann Richet, Lucie Pheulpin, Jérémy Rohmer, Rodolphe Le Riche, Didier Rullière
Robust inversion under uncertainty for flooding risk analysis SIAM Conference on Uncertainty Quantification (UQ22) - 2022 |
Sciences de l'ingenieur | ||
| 2022
COMM |
Julien Pelamatti, Mohamed Reda El Amri, Rodolphe Le Riche, Christophette Blanchet-Scalliet, Céline Helbert
Sampling Criteria for Constrained Bayesian Optimization under Uncertainty Hybrid Conference: 2022 SIAM Conference on Uncertainty Quantification - 2022 |
Informatique/Modélisation et simulation | ||
| 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 |
Informatique/Ingénierie, finance et science | ||
| 2022
ART |
Youssef Diouane, Victor Picheny, Rodolphe Le Riche, Alexandre Scotto Di Perrotolo
TREGO: a Trust-Region Framework for Efficient Global Optimization Journal of Global Optimization - 2022 |
Informatique/Ingénierie, finance et science | ||
| 2022
ART |
Jhouben Cuesta-Ramirez, Rodolphe Le Riche, O Roustant, Guillaume Perrin, Cedric Durantin, Alain Gliere
A comparison of mixed-variables Bayesian optimization approaches Advanced Modeling and Simulation in Engineering Sciences - 2022 |
Informatique/Modélisation et simulation | ||
| 2021
LECTURE |
Rodolphe Le Riche, Charlie Sire
Introduction to Global Optimization |
Informatique/Ingénierie, finance et science | ||
| 2021
LECTURE |
Rodolphe Le Riche, Dédji Brian Whannou, Espéran Padonou
An introduction to optimization for machine learning |
Informatique/Intelligence artificielle | ||
| 2021
ART |
Rodolphe Le Riche, Victor Picheny
Revisiting Bayesian Optimization in the light of the COCO benchmark Structural and Multidisciplinary Optimization - 2021 |
Informatique/Ingénierie, finance et science | ||
| 2021
COMM |
Charlie Sire, Yann Richet, Jeremy Rohmer, Rodolphe Le Riche, Didier Rullière, Lucie Pheulpin
Robust inversion for risk analysis – application to the failure of defences against floodin 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2021) - 2021 |
Informatique/Modélisation et simulation | ||
| 2021
COMM |
Reda El Amri, Julien Pelamatti, Rodolphe Le Riche, Céline Helbert, Christophette Blanchet-Scalliet
Coupling constraints in Bayesian optimization with uncertainties 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2021) - 2021 |
Informatique/Modélisation et simulation | ||
| 2021
COMM |
Clément Laboulfie, Mathieu Balesdent, Loïc Brevault, Sebastien da Veiga, François-Xavier Irisarri, Rodolphe Le Riche, Jean-François Maire
Calibration of material model using mixed-effects models 4th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2021) - 2021 |
Informatique/Modélisation et simulation | ||
| 2021
REPORT |
Olivier Roustant, Rodolphe Le Riche, Josselin Garnier, David Ginsbourger, Yves Deville, Céline Helbert, Luc Pronzato, Clémentine Prieur, Fabrice Gamboa, François Bachoc, Jeremy Rohmer, Guillaume Perrin, Amandine Marrel, Guillaume Damblin, Alain Gliere, Delphine Sinoquet, Yann Richet, Sébastien da Veiga, Frédéric Huguet
Chair in applied mathematics OQUAIDO Activity report |
Informatique/Ingénierie, finance et science | ||
| 2021
COMM |
Charlie Sire, Rodolphe Le Riche, Didier Rulliere, Lucie Pheulpin, Yann Richet
Robust inversion under uncertainty for risk analysis – application to the failure of defences against flooding MASCOT 21 Meeting, GDR - 2021 |
Maths | ||
| 2020
COMM |
Julien Pelamatti, Rodolphe Le Riche, Celine Helbert, Christophette Blanchet-Scalliet
Coupling constraints in Bayesian optimization with uncertainties Journées scientifiques d'automne de la chaire OQUAIDO - 2020 |
Informatique/Ingénierie, finance et science | ||
| 2020
COMM |
Jhouben Janyk Cuesta Ramirez, Olivier Roustant, Alain Gliere, Rodolphe Le Riche, Cédric Durantin, Guillaume Perrin
Optimization in presence of categorical variables Journées scientifiques d'automne de la chaire OQUAIDO - 2020 |
Informatique/Ingénierie, finance et science | ||
| 2020
COMM |
Olivier Roustant, Rodolphe Le Riche
de OQUAIDO à CIROQUO -- bilan de 5 ans de la chaire OQUAIDO en mathématiques appliquées Journées scientifiques d'automne de la chaire OQUAIDO - 2020 |
Informatique/Ingénierie, finance et science | ||
| 2020
COMM |
Rodolphe Le Riche, Adrien Spagnol, David Gaudrie, Sébastien da Veiga, Victor Picheny
Reducing dimension in Bayesian Optimization LIMOS internal seminar - 2020 |
Informatique/Ingénierie, finance et science | ||
| 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 | ||
| 2020
COUV |
Nicolas Garland, Rodolphe Le Riche, Yann Richet, Nicolas Durrande
Multi-fidelity for MDO using Gaussian Processes |
Informatique/Ingénierie, finance et science | ||
| 2019
UNDEFINED |
Stéphanie Mahévas, Victor Picheny, Patrick Lambert, Nicolas Dumoulin, Lauriane Rouan, Christophe Soulié, Dimo Brockhoff, Sigrid Lehuta, Rodolphe Le Riche, Robert Faivre, Hilaire Drouineau
A practical guide for conducting calibration and decision-making optimisation with complex ecological models |
Sciences du vivant | ||
| 2019
COMM |
Mohamed Reda El Amri, Christophette Blanchet-Scalliet, Celine Helbert, Rodolphe Le Riche
Bayesian Optimization Under Uncertainty for Chance Constrained Problems PGMO Days 2019 - 2019 |
Informatique/Modélisation et simulation | ||
| 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 |
Informatique/Ingénierie, finance et science | ||
| 2019
LECTURE |
Rodolphe Le Riche
Optimization under uncertainties: an overview with a focus on Gaussian processes |
Informatique/Ingénierie, finance et science | ||
| 2019
LECTURE |
Rodolphe Le Riche, Nicolas Durrande
An overview of kriging for researchers |
Informatique/Ingénierie, finance et science | ||
| 2019
UNDEFINED |
David Gaudrie, Rodolphe Le Riche, Victor Picheny, Benoît Enaux, Vincent Herbert
Modeling and Optimization with Gaussian Processes in Reduced Eigenbases - Extended Version |
Sciences de l'ingenieur | ||
| 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 |
Jhouben Janyk Cuesta Ramirez, Olivier Roustant, Rodolphe Le Riche, Alain Gliere, Cédric Durantin, Guillaume Perrin
Inversion of a costly multivariate function in presence of categorical variables APPLIED INVERSE PROBLEMS CONFERENCE - 2019 |
Statistiques | ||
| 2019
UNDEFINED |
Nathaniel B. Price, Mathieu Balesdent, Sebastien Defoort, Rodolphe Le Riche, Nam H. Kim, Raphael T. Haftka
Safety-margin-based design and redesign considering mixed epistemic model uncertainty and aleatory parameter uncertainty |
Informatique/Modélisation et simulation | ||
| 2019
COMM |
Marie-Liesse Cauwet, Rodolphe Le Riche, Olivier Roustant
Mixed global optimization by algorithms composition: an empirical study with a focus on Bayesian approaches 30th European conference on operational research, EURO2019 - 2019 |
Informatique/Ingénierie, finance et science | ||
| 2019
COMM |
Adrien Spagnol, Rodolphe Le Riche, Sébastien da Veiga
Bayesian optimization in effective dimensions via kernel-based sensitivity indices 30th European conference on operational research, EURO2019 - 2019 |
Informatique/Algorithme et structure de données | ||
| 2019
COMM |
Adrien Spagnol, Rodolphe Le Riche, Sébastien da Veiga
Bayesian optimization in effective dimensions via kernel-based sensitivity indices 13th International Conference on Applications of Statistics and Probability in Civil Engineering(ICASP13) - 2019 |
Informatique/Algorithme et structure de données | ||
| 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 |
Informatique/Ingénierie, finance et science | ||
| 2019
ART |
Luc Laurent, Rodolphe Le Riche, Bruno Soulier, Pierre-Alain Boucard
An overview of gradient-enhanced metamodels with applications Archives of Computational Methods in Engineering - 2019 |
Maths | ||
| 2019
ART |
Adrien Spagnol, Rodolphe Le Riche, Sébastien da Veiga
Global sensitivity analysis for optimization with variable selection SIAM/ASA Journal on Uncertainty Quantification - 2019 |
Informatique/Modélisation et simulation | ||
| 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 |
Informatique/Ingénierie, finance et science | ||
| 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 |
Statistiques | ||
| 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 |
Statistiques | ||
| 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 |
Adrien Spagnol, Rodolphe Le Riche, Sébastien da Veiga
Global sensitivity analysis for optimization with variable selection 12th International Conference on Learning and Intelligent Optimization - 2018 |
Informatique/Modélisation et simulation | ||
| 2018
ART |
Hossein Mohammadi, Rodolphe Le Riche, Xavier Bay, Eric Touboul
An analysis of covariance parameters in Gaussian Process-based optimization Croatian Operational Research Review (CRORR) - 2018 |
Informatique/Modélisation et simulation | ||
| 2018
LECTURE |
Rodolphe Le Riche
A comparative introduction to two optimization classics: the Nelder-Mead and the CMA-ES algorithms |
Informatique/Ingénierie, finance et science | ||
| 2018
COMM |
Olivier Roustant, Rodolphe Le Riche
The OQUAIDO research chair in a nutshell MASCOT-NUM GDR meeting - 2018 |
Informatique/Modélisation et simulation | ||
| 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 |
Sciences de l'ingenieur | ||
| 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 |
Sciences de l'ingenieur | ||
| 2017
COMM |
Adrien Spagnol, Rodolphe Le Riche, Sébastien da Veiga, Olivier Roustant
Global sensitivity analysis for optimization with variable selection PGMO Days 2017 - 2017 |
Informatique/Modélisation et simulation | ||
| 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 | ||
| 2017
LECTURE |
Nicolas Durrande, Rodolphe Le Riche
Introduction to Gaussian Process Surrogate Models |
Informatique/Ingénierie, finance et science | ||
| 2017
COMM |
Stéphanie Mahévas, Victor Picheny, Patrick Lambert, Dumoulin Nicolas, Lauriane Rouan, Jean-Christophe Soulié, Hilaire Drouineau, Rodolphe Le Riche, Robert Faivre, Sigrid Lehuta, D. Brockoff
Suivez le guide! Optimiser un modèle complexe suppose une bonne démarche et de bons outils Colloque Pêches et Changements Globaux 2017 - 2017 |
Informatique/Modélisation et simulation | ||
| 2017
COMM |
Rodolphe Le Riche, Hossein Mohammadi, Nicolas Durrande, Eric Touboul, Xavier Bay
A Comparison of Regularization Methods for Gaussian Processes 2017 SIAM Conference on Optimization - 2017 |
Informatique/Modélisation et simulation | ||
| 2017
REPORT |
Hossein Mohammadi, Rodolphe Le Riche, Nicolas Durrande, Eric Touboul, Xavier Bay
An analytic comparison of regularization methods for Gaussian Processes |
Statistiques |