1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ML2025
Distributional encoding for Gaussian process regression with qualitative inputs
Sébastien Da Veiga
Gaussian Process (GP) regression is a popular and sample-efficient approach for many engineering applications, where observations are expensive to acquire, and is also a central in…
stat.ML2024★ 1 cited
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels
Raphaël Carpintero Perez, Sébastien da Veiga, Josselin Garnier +1
Supervised learning has recently garnered significant attention in the field of computational physics due to its ability to effectively extract complex patterns for tasks like solv…
math.ST2012
Efficient Estimation of Sensitivity Indices
Sébastien Da Veiga, Fabrice Gamboa
In this paper we address the problem of efficient estimation of Sobol sensitivy indices. First, we focus on general functional integrals of conditional moments of the form $\E(ψ(\E…