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Universality, Characteristic Kernels and RKHS Embedding of Measures

Universality, Characteristic Kernels and RKHS Embedding of Measures

3 March 2010
Bharath K. Sriperumbudur
Kenji Fukumizu
Gert R. G. Lanckriet
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Papers citing "Universality, Characteristic Kernels and RKHS Embedding of Measures"

18 / 18 papers shown
Title
Autoencoding Random Forests
Autoencoding Random Forests
Binh Duc Vu
Jan Kapar
Marvin N. Wright
David S. Watson
77
0
0
27 May 2025
Kernel Quantile Embeddings and Associated Probability Metrics
Kernel Quantile Embeddings and Associated Probability Metrics
Masha Naslidnyk
Siu Lun Chau
F. Briol
Krikamol Muandet
50
0
0
26 May 2025
Integral Imprecise Probability Metrics
Integral Imprecise Probability Metrics
Siu Lun Chau
Michele Caprio
Krikamol Muandet
36
0
0
22 May 2025
Proper scoring rules for estimation and forecast evaluation
Proper scoring rules for estimation and forecast evaluation
Kartik Waghmare
Johanna Ziegel
AI4TS
133
0
0
02 Apr 2025
Random feature-based double Vovk-Azoury-Warmuth algorithm for online multi-kernel learning
Random feature-based double Vovk-Azoury-Warmuth algorithm for online multi-kernel learning
Dmitry B. Rokhlin
Olga V. Gurtovaya
65
0
0
25 Mar 2025
A Markov Random Field Multi-Modal Variational AutoEncoder
A Markov Random Field Multi-Modal Variational AutoEncoder
Fouad Oubari
M. Baha
Raphael Meunier
Rodrigue Décatoire
Mathilde Mougeot
61
0
0
18 Aug 2024
Operator-Informed Score Matching for Markov Diffusion Models
Operator-Informed Score Matching for Markov Diffusion Models
Zheyang Shen
Huihui Wang
Marina Riabiz
Chris J. Oates
DiffM
85
0
0
13 Jun 2024
Submodular Framework for Structured-Sparse Optimal Transport
Submodular Framework for Structured-Sparse Optimal Transport
Piyushi Manupriya
Pratik Jawanpuria
Karthik S. Gurumoorthy
SakethaNath Jagarlapudi
Bamdev Mishra
OT
118
0
0
07 Jun 2024
Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces
Wasserstein Gradient Flows for Moreau Envelopes of f-Divergences in Reproducing Kernel Hilbert Spaces
Viktor Stein
Sebastian Neumayer
Gabriele Steidl
Nicolaj Rux
83
10
0
07 Feb 2024
Spectral Regularized Kernel Goodness-of-Fit Tests
Spectral Regularized Kernel Goodness-of-Fit Tests
Omar Hagrass
Bharath K. Sriperumbudur
Bing Li
52
4
0
08 Aug 2023
Nonlinear Meta-Learning Can Guarantee Faster Rates
Nonlinear Meta-Learning Can Guarantee Faster Rates
Dimitri Meunier
Zhu Li
Arthur Gretton
Samory Kpotufe
66
6
0
20 Jul 2023
Targeted Separation and Convergence with Kernel Discrepancies
Targeted Separation and Convergence with Kernel Discrepancies
Alessandro Barp
Carl-Johann Simon-Gabriel
Mark Girolami
Lester W. Mackey
81
15
0
26 Sep 2022
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves
Rahul Singh
Liyuan Xu
Arthur Gretton
59
3
0
06 Nov 2021
Balanced Policy Evaluation and Learning
Balanced Policy Evaluation and Learning
Nathan Kallus
CML
OffRL
222
141
0
21 May 2017
Generalized Optimal Matching Methods for Causal Inference
Generalized Optimal Matching Methods for Causal Inference
Nathan Kallus
95
108
0
26 Dec 2016
Minimax Estimation of Kernel Mean Embeddings
Minimax Estimation of Kernel Mean Embeddings
Ilya O. Tolstikhin
Bharath K. Sriperumbudur
Krikamol Muandet
31
86
0
13 Feb 2016
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
154
741
0
30 Jul 2009
A Kernel Method for the Two-Sample Problem
A Kernel Method for the Two-Sample Problem
Arthur Gretton
Karsten Borgwardt
Malte J. Rasch
Bernhard Schölkopf
Alex Smola
169
2,352
0
15 May 2008
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