184 citations · 318 across the 26 of their papers we have counts for
5 papers · 1 filter
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…
Shapes enhancing the propulsion of multiflagellated helical microswimmers
Luca Berti, Mickaël Binois, François Alouges +3
In this paper we are interested in optimizing the shape of multi-flagellated helical microswimmers. Mimicking the propagation of helical waves along the flagella, they self-propel…
Sensitivity Prewarping for Local Surrogate Modeling
Nathan Wycoff, Mickaël Binois, Robert B. Gramacy
In the continual effort to improve product quality and decrease operations costs, computational modeling is increasingly being deployed to determine feasibility of product designs…