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Chevalier, Clément; Picheny, Victor; Ginsbourger, David (2014). KrigInv: An efficient and user-friendly implementation of batch-sequential inversion strategies based on kriging. Computational statistics & data analysis, 71, pp. 1021-1034. Elsevier 10.1016/j.csda.2013.03.008
Picheny, Victor; Ginsbourger, David (2014). Noisy kriging-based optimization methods: A unified implementation within the DiceOptim package. Computational statistics & data analysis, 71, pp. 1035-1053. Elsevier 10.1016/j.csda.2013.03.018
Chevalier, Clément; Bect, Julien; Ginsbourger, David; Vazquez, Emmanuel; Picheny, Victor; Richet, Yann (2014). Fast parallel kriging-based stepwise uncertainty reduction with application to the identification of an excursion set. Technometrics, 56(4), pp. 455-465. Taylor & Francis 10.1080/00401706.2013.860918
Picheny, Victor; Wagner, Tobias; Ginsbourger, David (2013). A benchmark of kriging-based infill criteria for noisy optimization. Structural and Multidisciplinary Optimization, 48(3), pp. 607-626. Springer 10.1007/s00158-013-0919-4
Picheny, Victor; Ginsbourger, David (2013). A Nonstationary Space-Time Gaussian Process Model for Partially Converged Simulations. SIAM/ASA Journal on Uncertainty Quantification, 1(1), pp. 57-78. Society for Industrial and Applied Mathematics 10.1137/120882834
Picheny, Victor; Ginsbourger, David; Richet, Yann; Caplin, Gregory (2013). Quantile-Based Optimization of Noisy Computer Experiments with Tunable Precision. Technometrics, 55(1), pp. 2-13. Taylor & Francis 10.1080/00401706.2012.707580
Picheny, Victor; Ginsbourger, David; Roustant, Olivier (2010). Adaptive Designs of Experiments for Accurate Approximation of Target Regions. Journal of mechanical design, 132(7), 071008. New York, N.Y.: American Society of Mechanical Engineers ASME 10.1115/1.4001873
Picheny, Victor; Ginsbourger, David (2010). Noisy Expected Improvement and on-line computation time allocation for the optimization of simulators with tunable fidelity. In: 2nd International Conference on Engineering Optimization.
