51 citations · 90 across the 10 of their papers we have counts for
Showing 2019Show all
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stat.ML2019★ 14 cited
Bayesian Optimization using Deep Gaussian Processes
Ali Hebbal, Loic Brevault, Mathieu Balesdent +2
Bayesian Optimization using Gaussian Processes is a popular approach to deal with the optimization of expensive black-box functions. However, because of the a priori on the station…
stat.AP2019★ 1 cited
Safety-margin-based design and redesign considering mixed epistemic model uncertainty and aleatory parameter uncertainty
Nathaniel B. Price, Mathieu Balesdent, Sébastien Defoort +3
At the initial design stage engineers often rely on low-fidelity models that have high epistemic uncertainty. Traditional safety-margin-based deterministic design resorts to testin…