10 citations
- Argonne National LaboratoryUS2 papers
- Laboratoire Jean-Alexandre DieudonnéFR2 papers
- Université Côte d'AzurFR2 papers
- CEA Paris-SaclayFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR1 paper
- Institut National de la Recherche AgronomiqueMA1 paper
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementFR1 paper
- Laboratoire de Mathématiques de VersaillesFR1 paper
- Laboratoire Magmas et VolcansFR1 paper
- Maison de la SimulationFR1 paper
- Mathématiques et Informatique Appliquées ToulouseFR1 paper
7 papers
A survey on high-dimensional Gaussian process modeling with application to Bayesian optimization
Mickael Binois, Nathan Wycoff
Bayesian Optimization, the application of Bayesian function approximation to finding optima of expensive functions, has exploded in popularity in recent years. In particular, much…
A portfolio approach to massively parallel Bayesian optimization
Mickael Binois, Nicholson Collier, Jonathan Ozik
One way to reduce the time of conducting optimization studies is to evaluate designs in parallel rather than just one-at-a-time. For expensive-to-evaluate black-boxes, batch versio…
A game theoretic perspective on Bayesian multi-objective optimization
Mickael Binois, Abderrahmane Habbal, Victor Picheny
This chapter addresses the question of how to efficiently solve many-objective optimization problems in a computationally demanding black-box simulation context. We shall motivate…
An all-regime and well-balanced Lagrange-projection type scheme for the shallow water equations on unstructured meshes
Christophe Chalons, Samuel Kokh, Maxime Stauffert
In this work, we focus on the numerical approximation of the shallow water equations in two space dimensions. Our aim is to propose a well-balanced, all-regime and positive scheme.…
The Kalai-Smorodinski solution for many-objective Bayesian optimization
Mickaël Binois, Victor Picheny, Patrick Taillandier +1
An ongoing aim of research in multiobjective Bayesian optimization is to extend its applicability to a large number of objectives. While coping with a limited budget of evaluations…
Well-posedness of general 1D Initial Boundary Value Problems for scalar balance laws
Elena Rossi
We focus on the initial boundary value problem for a general scalar balance law in one space dimension. Under rather general assumptions on the flux and source functions, we prove…