2 citations · 2 across the 1 of their papers we have counts for
3 papers
Coupling and selecting constraints in Bayesian optimization under uncertainties
Julien Pelamatti, Rodolphe Le Riche, Céline Helbert +1
We consider chance constrained optimization where it is sought to optimize a function while complying with constraints, both of which are affected by uncertainties. The high comput…
Revisiting Bayesian Optimization in the light of the COCO benchmark
Rodolphe Le Riche, Victor Picheny
It is commonly believed that Bayesian optimization (BO) algorithms are highly efficient for optimizing numerically costly functions. However, BO is not often compared to widely dif…
Targeting Solutions in Bayesian Multi-Objective Optimization: Sequential and Batch Versions
David Gaudrie, Rodolphe Le Riche, Victor Picheny +2
Multi-objective optimization aims at finding trade-off solutions to conflicting objectives. These constitute the Pareto optimal set. In the context of expensive-to-evaluate functio…