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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
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Papers citing "Hilbert space embeddings and metrics on probability measures"

17 / 17 papers shown
Title
Kernel Quantile Embeddings and Associated Probability Metrics
Kernel Quantile Embeddings and Associated Probability Metrics
Masha Naslidnyk
Siu Lun Chau
F. Briol
Krikamol Muandet
70
0
0
26 May 2025
Optimal Online Change Detection via Random Fourier Features
Optimal Online Change Detection via Random Fourier Features
Florian Kalinke
Shakeel Gavioli-Akilagun
54
0
0
23 May 2025
Geometric Median Matching for Robust k-Subset Selection from Noisy Data
Geometric Median Matching for Robust k-Subset Selection from Noisy Data
Anish Acharya
Sujay Sanghavi
Alexandros G. Dimakis
Inderjit S Dhillon
AAML
136
0
0
01 Apr 2025
Beyond IID: data-driven decision-making in heterogeneous environments
Beyond IID: data-driven decision-making in heterogeneous environments
Omar Besbes
Will Ma
Omar Mouchtaki
95
8
0
03 Jan 2025
Ergodic Trajectory Optimization on Generalized Domains Using Maximum Mean Discrepancy
Ergodic Trajectory Optimization on Generalized Domains Using Maximum Mean Discrepancy
Christian Hughes
Houston Warren
Darrick Lee
Fabio Ramos
Ian Abraham
85
1
0
14 Oct 2024
On the Robustness of Kernel Goodness-of-Fit Tests
On the Robustness of Kernel Goodness-of-Fit Tests
Xing Liu
F. Briol
OOD
99
5
0
11 Aug 2024
Efficient and Accurate Explanation Estimation with Distribution Compression
Efficient and Accurate Explanation Estimation with Distribution Compression
Hubert Baniecki
Giuseppe Casalicchio
Bernd Bischl
Przemyslaw Biecek
FAtt
96
4
0
26 Jun 2024
Contextualized Messages Boost Graph Representations
Contextualized Messages Boost Graph Representations
Brian Godwin Lim
Galvin Brice Lim
Renzo Roel Tan
Kazushi Ikeda
AI4CE
117
2
0
19 Mar 2024
Spectral Regularized Kernel Goodness-of-Fit Tests
Spectral Regularized Kernel Goodness-of-Fit Tests
Omar Hagrass
Bharath K. Sriperumbudur
Bing Li
120
4
0
08 Aug 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
96
15
0
26 Sep 2022
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection
Maximum Mean Discrepancy on Exponential Windows for Online Change Detection
Florian Kalinke
Marco Heyden
Edouard Fouché
Klemens Bohm
Klemens Böhm
205
1
0
25 May 2022
Composite Goodness-of-fit Tests with Kernels
Composite Goodness-of-fit Tests with Kernels
Oscar Key
Arthur Gretton
F. Briol
T. Fernandez
78
16
0
19 Nov 2021
Minimax Estimation of Kernel Mean Embeddings
Minimax Estimation of Kernel Mean Embeddings
Ilya O. Tolstikhin
Bharath K. Sriperumbudur
Krikamol Muandet
50
86
0
13 Feb 2016
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
224
530
0
03 Mar 2010
Kernel dimension reduction in regression
Kernel dimension reduction in regression
Kenji Fukumizu
Francis R. Bach
Michael I. Jordan
217
313
0
13 Aug 2009
Estimating divergence functionals and the likelihood ratio by convex risk minimization
Estimating divergence functionals and the likelihood ratio by convex risk minimization
X. Nguyen
Martin J. Wainwright
Michael I. Jordan
223
803
0
04 Sep 2008
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
231
2,360
0
15 May 2008

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