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Distribution Regression with Sliced Wasserstein Kernels
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Distribution Regression with Sliced Wasserstein Kernels

Dimitri Meunier
Massimiliano Pontil
C. Ciliberto
    OOD
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Papers citing "Distribution Regression with Sliced Wasserstein Kernels"

11 / 11 papers shown
Title
Distributional encoding for Gaussian process regression with qualitative inputs
Sébastien Da Veiga
UQCV
95
0
0
05 Jun 2025
Improved learning theory for kernel distribution regression with two-stage sampling
Improved learning theory for kernel distribution regression with two-stage sampling
François Bachoc
Louis Bethune
Alberto González Sanz
Jean-Michel Loubes
145
2
0
28 Jan 2025
Wasserstein Spatial Depth
Wasserstein Spatial Depth
François Bachoc
Alberto González Sanz
Jean-Michel Loubes
Yisha Yao
89
1
0
16 Nov 2024
Learning to Embed Distributions via Maximum Kernel Entropy
Learning to Embed Distributions via Maximum Kernel Entropy
Oleksii Kachaiev
Stefano Recanatesi
OOD
120
0
0
01 Aug 2024
Uncertainty quantification in metric spaces
Uncertainty quantification in metric spaces
Gábor Lugosi
Marcos Matabuena
137
5
0
08 May 2024
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels
Raphael Carpintero Perez
Sébastien da Veiga
Josselin Garnier
B. Staber
107
6
0
06 Feb 2024
Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates
Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates
Rémi Leluc
Aymeric Dieuleveut
Franccois Portier
Johan Segers
Aigerim Zhuman
78
7
0
02 Feb 2024
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals
Clément Bonet
Benoit Malézieux
A. Rakotomamonjy
Lucas Drumetz
Thomas Moreau
M. Kowalski
Nicolas Courty
96
16
0
10 Mar 2023
Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression
Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression
Jiading Liu
Lei Shi
85
12
0
20 Nov 2022
Gaussian Processes on Distributions based on Regularized Optimal Transport
Gaussian Processes on Distributions based on Regularized Optimal Transport
François Bachoc
Louis Bethune
Alberto González Sanz
Jean-Michel Loubes
GPOT
66
8
0
12 Oct 2022
Nonlinear Sufficient Dimension Reduction for Distribution-on-Distribution Regression
Nonlinear Sufficient Dimension Reduction for Distribution-on-Distribution Regression
Q. Zhang
Bing Li
Lingzhou Xue
82
12
0
11 Jul 2022