324 citations · 484 across the 31 of their papers we have counts for
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stat.ML2016★ 6 cited
Efficient batch-sequential Bayesian optimization with moments of truncated Gaussian vectors
Sébastien Marmin, Clément Chevalier, David Ginsbourger
We deal with the efficient parallelization of Bayesian global optimization algorithms, and more specifically of those based on the expected improvement criterion and its variants.…
stat.ML2016★ 5 cited
A supermartingale approach to Gaussian process based sequential design of experiments
Julien Bect, François Bachoc, David Ginsbourger
Gaussian process (GP) models have become a well-established frameworkfor the adaptive design of costly experiments, and notably of computerexperiments. GP-based sequential designs…