A Gaussian Process Regression Model for Distribution Inputs

31 January 2017

Papers citing "A Gaussian Process Regression Model for Distribution Inputs"

9 / 9 papers shown

Title
Improved learning theory for kernel distribution regression with two-stage sampling François Bachoc Louis Bethune Alberto González Sanz Jean-Michel Loubes 96 1 0 28 Jan 2025
Asymptotic analysis for covariance parameter estimation of Gaussian processes with functional inputs Lucas Reding A. F. López-Lopera François Bachoc 49 1 0 26 Apr 2024
Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels Antonio Candelieri Andrea Ponti Francesco Archetti 19 1 0 02 Dec 2022
Gaussian Processes on Distributions based on Regularized Optimal Transport François Bachoc Louis Bethune Alberto González Sanz Jean-Michel Loubes GP OT 34 7 0 12 Oct 2022
Distributional Gaussian Processes Layers for Out-of-Distribution Detection S. Popescu D. Sharp James H. Cole Konstantinos Kamnitsas Ben Glocker OOD 34 0 0 27 Jun 2022
Multivariate Gaussian Random Fields over Generalized Product Spaces involving the Hypertorus François Bachoc A. Peron Emilio Porcu 14 3 0 22 Feb 2022
Dataset2Vec: Learning Dataset Meta-Features H. Jomaa Lars Schmidt-Thieme Josif Grabocka SSL 22 61 0 27 May 2019
On the smallest eigenvalues of covariance matrices of multivariate spatial processes François Bachoc Reinhard Furrer 23 14 0 09 Feb 2016
Asymptotic analysis of the role of spatial sampling for covariance parameter estimation of Gaussian processes François Bachoc 57 57 0 18 Jan 2013