6 citations · 6 across the 3 of their papers we have counts for
3 papers · 1 filter
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…
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…
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…