| Spectral approximation of the IMSE criterion for optimal designs in kernel-based interpolation models B Gauthier, L Pronzato SIAM/ASA Journal on Uncertainty Quantification 2 (1), 805-825, 2014 | 35 | 2014 |
| Convex relaxation for IMSE optimal design in random-field models B Gauthier, L Pronzato Computational Statistics & Data Analysis 113, 375-394, 2017 | 21 | 2017 |
| Approximation of IMSE-optimal designs via quadrature rules and spectral decomposition B Gauthier, L Pronzato Communications in Statistics-Simulation and Computation 45 (5), 1600-1612, 2016 | 16 | 2016 |
| Optimal quadrature-sparsification for integral operator approximation B Gauthier, JAK Suykens SIAM Journal on Scientific Computing 40 (5), A3636-A3674, 2018 | 11 | 2018 |
| Approche spectrale pour l’interpolation à noyaux et positivité conditionnelle B Gauthier Ecole Nationale Supérieure des Mines de Saint-Etienne, 2011 | 6 | 2011 |
| Spectral approach for kernel-based interpolation B Gauthier, X Bay Annales de la Faculté des sciences de Toulouse: Mathématiques 21 (3), 439-479, 2012 | 5 | 2012 |
| Optimal design for prediction in random field models via covariance kernel expansions B Gauthier, L Pronzato mODa 11-Advances in Model-Oriented Design and Analysis: Proceedings of the …, 2016 | 4 | 2016 |
| Local optimisation of Nyström samples through stochastic gradient descent M Hutchings, B Gauthier International Conference on Machine Learning, Optimization, and Data Science …, 2022 | 3 | 2022 |
| Energy-based sequential sampling for low-rank PSD-matrix approximation M Hutchings, B Gauthier SIAM Journal on Mathematics of Data Science 6 (4), 1055-1077, 2024 | 2 | 2024 |
| Kernel embedding of measures and low-rank approximation of integral operators B Gauthier Positivity 28 (2), 29, 2024 | 2 | 2024 |
| Nyström approximation and reproducing kernels: embeddings, projections and squared-kernel discrepancy B Gauthier | 1 | 2021 |
| Spectral approach for kernel-based interpolation and conditional positivity B Gauthier HAL 2011, 2011 | 1 | 2011 |
| Extended formula for Kriging interpolation X Bay, B Gauthier Technical report, Ecole des Mines de St-Etienne, 2010 | 1 | 2010 |
| Model-robust designs for assessing the uncertainty of simulator outputs with linear meta-models B Gauthier, L Carraro, O Roustant ENBIS 7 Dortmund, -, 2007 | 1 | 2007 |
| Low-rank kernel approximation, Nyström method and conic squared-kernel discrepancy B Gauthier | | 2020 |
| RKHS, energy, discrepancy and SVM B Gauthier, J Suykens | | 2016 |
| A convex relaxation for sparse low-rank Nyström approximation of large scale kernel-matrices B Gauthier, J Suykens | | 2016 |
| An alternative for the computation of IMSE optimal designs of experiments B Gauthier, L Pronzato, J Rendas 7th Int. Workshop on Simulation, 2013 | | 2013 |
| Extended formula for kriging interpolation B GAUTHIER, X BAY | | 2010 |
| Optimal interpolation in RKHS, integral operators and application B GAUTHIER, X BAY | | 2010 |
