Fast Computation of the Multi-Points Expected Improvement with Applications in Batch Selection. - Clément Chevalier; David Ginsbourger (LION, 2013)

KrigInv: An efficient and user-friendly implementation of batch-sequential inversion strategies based on kriging. - Clément Chevalier; Victor Picheny; David Ginsbourger (Comput. Stat. Data Anal., 2014)

Bayesian Adaptive Reconstruction of Profile Optima and Optimizers. - David Ginsbourger; Jean Baccou; Clément Chevalier; Frédéric Perales; Nicolas Garland; Yann Monerie (SIAM/ASA J. Uncertain. Quantification, 2014)

Fast Parallel Kriging-Based Stepwise Uncertainty Reduction With Application to the Identification of an Excursion Set. - Clément Chevalier; Julien Bect; David Ginsbourger; Emmanuel Vázquez; Victor Picheny; Yann Richet (Technometrics, 2014)

Differentiating the Multipoint Expected Improvement for Optimal Batch Design. - Sébastien Marmin; Clément Chevalier; David Ginsbourger (MOD, 2015)

Quantifying Uncertainties on Excursion Sets Under a Gaussian Random Field Prior. - Dario Azzimonti; Julien Bect; Clément Chevalier; David Ginsbourger (SIAM/ASA J. Uncertain. Quantification, 2016)

Nested Kriging predictions for datasets with a large number of observations. - Didier Rullière; Nicolas Durrande; François Bachoc; Clément Chevalier (Stat. Comput., 2018)

Modeling Nonstationary Extreme Dependence With Stationary Max-Stable Processes and Multidimensional Scaling. - Clément Chevalier; Olivia Martius; David Ginsbourger (J. Comput. Graph. Stat., 2021)

Adaptive Design of Experiments for Conservative Estimation of Excursion Sets. - Dario Azzimonti; David Ginsbourger; Clément Chevalier; Julien Bect; Yann Richet (Technometrics, 2021)