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Number of items: 7.

Hutchings, Matthew and Gauthier, Bertrand ORCID: https://orcid.org/0000-0001-5469-814X 2023. Local optimisation of Nyström samples through stochastic gradient descent. Presented at: The 8th International Online & Onsite Conference on Machine Learning, Optimization, and Data Science, Siena, Italy, September 18 – 22, 2022. Lecture Notes in Computer Science. (13810) Springer, pp. 123-140. 10.1007/978-3-031-25599-1_10
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Gauthier, Bertrand ORCID: https://orcid.org/0000-0001-5469-814X and Suykens, Johan A. K. 2018. Optimal quadrature-sparsification for integral operator approximation. SIAM Journal on Scientific Computing 40 (5) , A3636-A3674. 10.1137/17M1123614
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Gauthier, B. ORCID: https://orcid.org/0000-0001-5469-814X and Pronzato, L. 2017. Convex relaxation for IMSE optimal design in random-field models. Computational Statistics and Data Analysis 113 , pp. 375-394. 10.1016/j.csda.2016.10.018

Gauthier, Bertrand ORCID: https://orcid.org/0000-0001-5469-814X and Pronzato, Luc 2016. Approximation of IMSE-optimal designs via quadrature rules and spectral decomposition. Communications in Statistics - Simulation and Computation 45 (5) , pp. 1600-1612. 10.1080/03610918.2014.972518

Gauthier, Bertrand ORCID: https://orcid.org/0000-0001-5469-814X and Pronzato, Luc 2016. Optimal design for prediction in random field models via covariance kernel expansions. Kunert, J., Muller, C. H. and Atkinson, A. C., eds. mODa 11 - Advances in Model-Oriented Design and Analysis: Proceedings of the 11th International Workshop in Model-Oriented Design and Analysis held in Hamminkeln, Germany, June 12-17, 2016, Springer, pp. 103-111. (10.1007/978-3-319-31266-8_13)

Gauthier, Bertrand ORCID: https://orcid.org/0000-0001-5469-814X and Pronzato, Luc 2014. Spectral approximation of the IMSE criterion for optimal designs in kernel-based interpolation models. SIAM/ASA Journal on Uncertainty Quantification 2 (1) , pp. 805-825. 10.1137/130928534

Gauthier, Bertrand ORCID: https://orcid.org/0000-0001-5469-814X and Bay, Xavier 2012. Spectral approach for kernel-based interpolation. Annales de la faculté des sciences de Toulouse Mathématiques 21 (3) , pp. 439-479. 10.5802/afst.1341

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