9 citations · 14 across the 7 of their papers we have counts for
11 papers
Gaussian Processes on Distributions based on Regularized Optimal Transport
François Bachoc, Louis Béthune, Alberto Gonzalez-Sanz +1
We present a novel kernel over the space of probability measures based on the dual formulation of optimal regularized transport. We propose an Hilbertian embedding of the space of…
Regret Analysis of Dyadic Search
François Bachoc, Tommaso Cesari, Roberto Colomboni +1
We analyze the cumulative regret of the Dyadic Search algorithm of Bachoc et al. [2022].
A Near-Optimal Algorithm for Univariate Zeroth-Order Budget Convex Optimization
François Bachoc, Tommaso Cesari, Roberto Colomboni +1
This paper studies a natural generalization of the problem of minimizing a univariate convex function by querying its values sequentially. At each time-step , the optimizer…
Multivariate Gaussian Random Fields over Generalized Product Spaces involving the Hypertorus
François Bachoc, Ana Peron, Emilio Porcu
The paper deals with multivariate Gaussian random fields defined over generalized product spaces that involve the hypertorus. The assumption of Gaussianity implies the finite dimen…
Asymptotically Equivalent Prediction in Multivariate Geostatistics
François Bachoc, Emilio Porcu, Moreno Bevilacqua +2
Cokriging is the common method of spatial interpolation (best linear unbiased prediction) in multivariate geostatistics. While best linear prediction has been well understood in un…
Gaussian linear approximation for the estimation of the Shapley effects
Baptiste Broto, François Bachoc, Marine Depecker +1
In this paper, we address the estimation of the sensitivity indices called "Shapley eects". These sensitivity indices enable to handle dependent input variables. The Shapley eects…