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A kernel Stein test of goodness of fit for sequential models

A kernel Stein test of goodness of fit for sequential models

19 October 2022
Jerome Baum
Heishiro Kanagawa
Arthur Gretton
ArXivPDFHTML

Papers citing "A kernel Stein test of goodness of fit for sequential models"

19 / 19 papers shown
Title
Recurrent Neural Goodness-of-Fit Test for Time Series
Recurrent Neural Goodness-of-Fit Test for Time Series
Aoran Zhang
Wenbin Zhou
Liyan Xie
Shixiang Zhu
52
1
0
17 Oct 2024
Sequential Kernelized Stein Discrepancy
Sequential Kernelized Stein Discrepancy
Diego Martinez-Taboada
Aaditya Ramdas
86
0
0
26 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
93
5
0
11 Aug 2024
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
53
4
0
09 Jun 2022
Gradient Estimation with Discrete Stein Operators
Gradient Estimation with Discrete Stein Operators
Jiaxin Shi
Yuhao Zhou
Jessica Hwang
Michalis K. Titsias
Lester W. Mackey
52
23
0
19 Feb 2022
Stein's Method Meets Computational Statistics: A Review of Some Recent
  Developments
Stein's Method Meets Computational Statistics: A Review of Some Recent Developments
Andreas Anastasiou
Alessandro Barp
F. Briol
B. Ebner
Robert E. Gaunt
...
Qiang Liu
Lester W. Mackey
Chris J. Oates
Gesine Reinert
Yvik Swan
55
35
0
07 May 2021
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event
  Data
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data
T. Fernandez
Nicolás Rivera
Wenkai Xu
Arthur Gretton
16
15
0
19 Aug 2020
The reproducing Stein kernel approach for post-hoc corrected sampling
The reproducing Stein kernel approach for post-hoc corrected sampling
Liam Hodgkinson
R. Salomone
Fred Roosta
47
27
0
25 Jan 2020
Accelerated Sampling on Discrete Spaces with Non-Reversible Markov
  Processes
Accelerated Sampling on Discrete Spaces with Non-Reversible Markov Processes
Samuel Power
Jacob Vorstrup Goldman
35
31
0
10 Dec 2019
A Kernel Stein Test for Comparing Latent Variable Models
A Kernel Stein Test for Comparing Latent Variable Models
Heishiro Kanagawa
Wittawat Jitkrittum
Lester W. Mackey
Kenji Fukumizu
Arthur Gretton
33
13
0
01 Jul 2019
Minimum Stein Discrepancy Estimators
Minimum Stein Discrepancy Estimators
Alessandro Barp
François‐Xavier Briol
Andrew B. Duncan
Mark Girolami
Lester W. Mackey
45
92
0
19 Jun 2019
Stein's Method for Stationary Distributions of Markov Chains and
  Application to Ising Models
Stein's Method for Stationary Distributions of Markov Chains and Application to Ising Models
Guy Bresler
Dheeraj M. Nagaraj
33
25
0
15 Dec 2017
Informed proposals for local MCMC in discrete spaces
Informed proposals for local MCMC in discrete spaces
Giacomo Zanella
50
125
0
20 Nov 2017
Measuring Sample Quality with Kernels
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
116
223
0
06 Mar 2017
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model
  Evaluation
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation
Qiang Liu
Jason D. Lee
Michael I. Jordan
94
478
0
10 Feb 2016
A Kernel Test of Goodness of Fit
A Kernel Test of Goodness of Fit
Kacper P. Chwialkowski
Heiko Strathmann
Arthur Gretton
BDL
159
327
0
09 Feb 2016
Kernels for sequentially ordered data
Kernels for sequentially ordered data
Franz J. Király
Harald Oberhauser
172
134
0
29 Jan 2016
Measuring Sample Quality with Stein's Method
Measuring Sample Quality with Stein's Method
Jackson Gorham
Lester W. Mackey
93
224
0
09 Jun 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
147
526
0
03 Mar 2010
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