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Distribution regression model with a Reproducing Kernel Hilbert Space approach

Distribution regression model with a Reproducing Kernel Hilbert Space approach

T. T. T. Bui
Jean-Michel Loubes
Risser
Balaresque
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Papers citing "Distribution regression model with a Reproducing Kernel Hilbert Space approach"

5 / 5 papers shown
Title
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
126
2
0
28 Jan 2025
A Gaussian Process Regression Model for Distribution Inputs
A Gaussian Process Regression Model for Distribution Inputs
François Bachoc
Fabrice Gamboa
Jean-Michel Loubes
N. Venet
74
52
0
31 Jan 2017
Sliced Wasserstein Kernels for Probability Distributions
Sliced Wasserstein Kernels for Probability Distributions
Soheil Kolouri
Yang Zou
Gustavo K. Rohde
39
161
0
10 Nov 2015
Universality, Characteristic Kernels and RKHS Embedding of Measures
Universality, Characteristic Kernels and RKHS Embedding of Measures
Bharath K. Sriperumbudur
Kenji Fukumizu
Gert R. G. Lanckriet
216
530
0
03 Mar 2010
Hilbert space embeddings and metrics on probability measures
Hilbert space embeddings and metrics on probability measures
Bharath K. Sriperumbudur
Arthur Gretton
Kenji Fukumizu
Bernhard Schölkopf
Gert R. G. Lanckriet
208
744
0
30 Jul 2009