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Targeted Separation and Convergence with Kernel Discrepancies
26 September 2022
Alessandro Barp
Carl-Johann Simon-Gabriel
Mark Girolami
Lester W. Mackey
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Papers citing
"Targeted Separation and Convergence with Kernel Discrepancies"
14 / 14 papers shown
Title
General reproducing properties in RKHS with application to derivative and integral operators
Fatima-Zahrae El-Boukkouri
Josselin Garnier
Olivier Roustant
39
0
0
20 Mar 2025
A Unified View of Optimal Kernel Hypothesis Testing
Antonin Schrab
41
1
0
10 Mar 2025
A Practical Introduction to Kernel Discrepancies: MMD, HSIC & KSD
Antonin Schrab
33
1
0
04 Mar 2025
Sequential Kernelized Stein Discrepancy
Diego Martinez-Taboada
Aaditya Ramdas
26
0
0
26 Sep 2024
Improved Finite-Particle Convergence Rates for Stein Variational Gradient Descent
Krishnakumar Balasubramanian
Sayan Banerjee
Promit Ghosal
23
2
0
13 Sep 2024
On the Robustness of Kernel Goodness-of-Fit Tests
Xing Liu
F. Briol
OOD
62
4
0
11 Aug 2024
Stein
Π
Π
Π
-Importance Sampling
Congye Wang
Ye Chen
Heishiro Kanagawa
Chris J. Oates
16
2
0
17 May 2023
Coordinating Distributed Example Orders for Provably Accelerated Training
A. Feder Cooper
Wentao Guo
Khiem Pham
Tiancheng Yuan
Charlie F. Ruan
Yucheng Lu
Chris De Sa
16
5
0
02 Feb 2023
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent
Jiaxin Shi
Lester W. Mackey
8
18
0
17 Nov 2022
Minimum Kernel Discrepancy Estimators
Chris J. Oates
17
9
0
28 Oct 2022
A Fourier representation of kernel Stein discrepancy with application to Goodness-of-Fit tests for measures on infinite dimensional Hilbert spaces
George Wynne
Mikolaj Kasprzak
Andrew B. Duncan
17
3
0
09 Jun 2022
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy
Badr-Eddine Chérief-Abdellatif
Pierre Alquier
51
62
0
29 Sep 2019
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
66
204
0
06 Mar 2017
A Kernel Test of Goodness of Fit
Kacper P. Chwialkowski
Heiko Strathmann
A. Gretton
BDL
86
304
0
09 Feb 2016
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