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Targeted Separation and Convergence with Kernel Discrepancies

Targeted Separation and Convergence with Kernel Discrepancies

26 September 2022
Alessandro Barp
Carl-Johann Simon-Gabriel
Mark Girolami
Lester W. Mackey
ArXivPDFHTML

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
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
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
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
On the Robustness of Kernel Goodness-of-Fit Tests
Xing Liu
F. Briol
OOD
62
4
0
11 Aug 2024
Stein $Π$-Importance Sampling
Stein ΠΠΠ-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
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
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
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
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
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
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
66
204
0
06 Mar 2017
A Kernel Test of Goodness of Fit
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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