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David Ginsbourger
First name(s): David
Last name(s): Ginsbourger

Publications of David Ginsbourger sorted by recency
Sequential Design of Computer Experiments, David Ginsbourger, in: Wiley StatsRef: Statistics Reference Online, Wiley, 2018
Non-parametric warping via local scale estimation for non-stationary Gaussian process modelling, Sébastien Marmin, Jean Baccou, Jacques Liandrat and David Ginsbourger, in: Wavelets and Sparsity XVII, pages 1039421, International Society for Optics and Photonics, 2017
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On ANOVA Decompositions of Kernels and Gaussian Random Field Paths, David Ginsbourger, Olivier Roustant, Dominic Schuhmacher, Nicolas Durrande and Nicolas Lenz, in: Monte Carlo and Quasi-Monte Carlo Methods, pages 315-330, Springer International Publishing, 2016
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Design of Computer Experiments Using Competing Distances Between Set-Valued Inputs, David Ginsbourger, Jean Baccou, Clément Chevalier and Frédéric Perales, in: mODa 11 - Advances in Model-Oriented Design and Analysis, pages 123-131, Springer International Publishing, 2016
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Global Optimization with Sparse and Local Gaussian Process Models, Tipaluck Krityakierne and David Ginsbourger, in: Machine Learning, Optimization, and Big Data, pages 185-196, Springer International Publishing, 2015
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Differentiating the Multipoint Expected Improvement for Optimal Batch Design, Sébastien Marmin, Clément Chevalier and David Ginsbourger, in: Machine Learning, Optimization, and Big Data, pages 37-48, Springer International Publishing, 2015
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