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KSD Aggregated Goodness-of-fit Test
v1v2v3v4v5v6 (latest)

KSD Aggregated Goodness-of-fit Test

2 February 2022
Antonin Schrab
Benjamin Guedj
Arthur Gretton
ArXiv (abs)PDFHTML

Papers citing "KSD Aggregated Goodness-of-fit Test"

46 / 46 papers shown
Title
Optimal Online Change Detection via Random Fourier Features
Optimal Online Change Detection via Random Fourier Features
Florian Kalinke
Shakeel Gavioli-Akilagun
57
0
0
23 May 2025
Sequential Kernelized Stein Discrepancy
Sequential Kernelized Stein Discrepancy
Diego Martinez-Taboada
Aaditya Ramdas
112
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
104
5
0
11 Aug 2024
On RKHS Choices for Assessing Graph Generators via Kernel Stein
  Statistics
On RKHS Choices for Assessing Graph Generators via Kernel Stein Statistics
Moritz Weckbecker
Wenkai Xu
Gesine Reinert
72
3
0
11 Oct 2022
Towards Healing the Blindness of Score Matching
Towards Healing the Blindness of Score Matching
Mingtian Zhang
Oscar Key
Peter Hayes
David Barber
Brooks Paige
F. Briol
MedIm
87
15
0
15 Sep 2022
A general framework for the analysis of kernel-based tests
A general framework for the analysis of kernel-based tests
Tamara Fernández
Nicolás Rivera
44
5
0
31 Aug 2022
Efficient Aggregated Kernel Tests using Incomplete $U$-statistics
Efficient Aggregated Kernel Tests using Incomplete UUU-statistics
Antonin Schrab
Ilmun Kim
Benjamin Guedj
Arthur Gretton
73
30
0
18 Jun 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
88
4
0
09 Jun 2022
A Kernelised Stein Statistic for Assessing Implicit Generative Models
A Kernelised Stein Statistic for Assessing Implicit Generative Models
Wenkai Xu
Gesine Reinert
SyDa
67
3
0
31 May 2022
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment
  of Implicit Graph Generators
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators
Wenkai Xu
Gesine Reinert
106
4
0
07 Mar 2022
Composite Goodness-of-fit Tests with Kernels
Composite Goodness-of-fit Tests with Kernels
Oscar Key
Arthur Gretton
F. Briol
T. Fernandez
86
16
0
19 Nov 2021
MMD Aggregated Two-Sample Test
MMD Aggregated Two-Sample Test
Antonin Schrab
Ilmun Kim
Mélisande Albert
Béatrice Laurent
Benjamin Guedj
Arthur Gretton
68
58
0
28 Oct 2021
Standardisation-function Kernel Stein Discrepancy: A Unifying View on
  Kernel Stein Discrepancy Tests for Goodness-of-fit
Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit
Wenkai Xu
62
4
0
23 Jun 2021
Kernel Stein Discrepancy Descent
Kernel Stein Discrepancy Descent
Anna Korba
Pierre-Cyril Aubin-Frankowski
Szymon Majewski
Pierre Ablin
61
52
0
20 May 2021
A Witness Two-Sample Test
A Witness Two-Sample Test
Jonas M. Kubler
Wittawat Jitkrittum
Bernhard Schölkopf
Krikamol Muandet
58
20
0
10 Feb 2021
Post-selection inference with HSIC-Lasso
Post-selection inference with HSIC-Lasso
Tobias Freidling
B. Poignard
Héctor Climente-González
M. Yamada
50
14
0
29 Oct 2020
A Kernel Two-Sample Test for Functional Data
A Kernel Two-Sample Test for Functional Data
George Wynne
Andrew B. Duncan
72
45
0
25 Aug 2020
Blindness of score-based methods to isolated components and mixing
  proportions
Blindness of score-based methods to isolated components and mixing proportions
Wenliang K. Li
Heishiro Kanagawa
80
34
0
23 Aug 2020
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
51
15
0
19 Aug 2020
Learning Kernel Tests Without Data Splitting
Learning Kernel Tests Without Data Splitting
Jonas M. Kubler
Wittawat Jitkrittum
Bernhard Schölkopf
Krikamol Muandet
63
23
0
03 Jun 2020
Minimax optimality of permutation tests
Minimax optimality of permutation tests
Ilmun Kim
Sivaraman Balakrishnan
Larry A. Wasserman
61
48
0
30 Mar 2020
Testing Goodness of Fit of Conditional Density Models with Kernels
Testing Goodness of Fit of Conditional Density Models with Kernels
Wittawat Jitkrittum
Heishiro Kanagawa
Bernhard Schölkopf
50
28
0
24 Feb 2020
Learning Deep Kernels for Non-Parametric Two-Sample Tests
Learning Deep Kernels for Non-Parametric Two-Sample Tests
Feng Liu
Wenkai Xu
Jie Lu
Guangquan Zhang
Arthur Gretton
Danica J. Sutherland
55
187
0
21 Feb 2020
Kernel Stein Tests for Multiple Model Comparison
Kernel Stein Tests for Multiple Model Comparison
Jen Ning Lim
M. Yamada
Bernhard Schölkopf
Wittawat Jitkrittum
48
13
0
27 Oct 2019
More Powerful Selective Kernel Tests for Feature Selection
More Powerful Selective Kernel Tests for Feature Selection
Jen Ning Lim
M. Yamada
Wittawat Jitkrittum
Y. Terada
S. Matsui
Hidetoshi Shimodaira
59
9
0
14 Oct 2019
On the Optimality of Gaussian Kernel Based Nonparametric Tests against
  Smooth Alternatives
On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives
Tong Li
M. Yuan
48
44
0
07 Sep 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
51
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
66
92
0
19 Jun 2019
Informative Features for Model Comparison
Informative Features for Model Comparison
Wittawat Jitkrittum
Heishiro Kanagawa
Patsorn Sangkloy
James Hays
Bernhard Schölkopf
Arthur Gretton
62
27
0
27 Oct 2018
Glow: Generative Flow with Invertible 1x1 Convolutions
Glow: Generative Flow with Invertible 1x1 Convolutions
Diederik P. Kingma
Prafulla Dhariwal
BDLDRL
303
3,141
0
09 Jul 2018
Random Feature Stein Discrepancies
Random Feature Stein Discrepancies
Jonathan H. Huggins
Lester W. Mackey
75
45
0
20 Jun 2018
Post Selection Inference with Incomplete Maximum Mean Discrepancy
  Estimator
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator
M. Yamada
Denny Wu
Yao-Hung Hubert Tsai
Ichiro Takeuchi
Ruslan Salakhutdinov
Kenji Fukumizu
96
20
0
17 Feb 2018
On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests
On the Optimality of Kernel-Embedding Based Goodness-of-Fit Tests
Krishnakumar Balasubramanian
Tong Li
M. Yuan
65
28
0
24 Sep 2017
A Linear-Time Kernel Goodness-of-Fit Test
A Linear-Time Kernel Goodness-of-Fit Test
Wittawat Jitkrittum
Wenkai Xu
Z. Szabó
Kenji Fukumizu
Arthur Gretton
75
104
0
22 May 2017
Measuring Sample Quality with Kernels
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
136
223
0
06 Mar 2017
Generative Models and Model Criticism via Optimized Maximum Mean
  Discrepancy
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy
Danica J. Sutherland
H. Tung
Heiko Strathmann
Soumyajit De
Aaditya Ramdas
Alex Smola
Arthur Gretton
113
263
0
14 Nov 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
277
3,719
0
26 May 2016
Convergence Rates for a Class of Estimators Based on Stein's Method
Convergence Rates for a Class of Estimators Based on Stein's Method
Chris J. Oates
Jon Cockayne
F. Briol
Mark Girolami
54
57
0
10 Mar 2016
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
108
486
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
213
328
0
09 Feb 2016
Measuring Sample Quality with Stein's Method
Measuring Sample Quality with Stein's Method
Jackson Gorham
Lester W. Mackey
110
225
0
09 Jun 2015
Control Functionals for Quasi-Monte Carlo Integration
Control Functionals for Quasi-Monte Carlo Integration
Chris J. Oates
Mark Girolami
92
27
0
14 Jan 2015
A Wild Bootstrap for Degenerate Kernel Tests
A Wild Bootstrap for Degenerate Kernel Tests
Kacper P. Chwialkowski
Dino Sejdinovic
Arthur Gretton
76
56
0
23 Aug 2014
Degenerate U- and V-statistics under weak dependence: Asymptotic theory
  and bootstrap consistency
Degenerate U- and V-statistics under weak dependence: Asymptotic theory and bootstrap consistency
Anne Leucht
70
50
0
09 May 2012
The two-sample problem for Poisson processes: adaptive tests with a
  non-asymptotic wild bootstrap approach
The two-sample problem for Poisson processes: adaptive tests with a non-asymptotic wild bootstrap approach
M. Fromont
Béatrice Laurent
Patricia Reynaud-Bouret
83
33
0
15 Mar 2012
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
531
0
03 Mar 2010
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