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1705.07673
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A Linear-Time Kernel Goodness-of-Fit Test
22 May 2017
Wittawat Jitkrittum
Wenkai Xu
Z. Szabó
Kenji Fukumizu
Arthur Gretton
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Papers citing
"A Linear-Time Kernel Goodness-of-Fit Test"
35 / 35 papers shown
Title
On the Robustness of Kernel Goodness-of-Fit Tests
Xing Liu
F. Briol
OOD
86
4
0
11 Aug 2024
Nyström Kernel Stein Discrepancy
Florian Kalinke
Zoltan Szabo
Bharath K. Sriperumbudur
60
1
0
12 Jun 2024
Robust Approximate Sampling via Stochastic Gradient Barker Dynamics
Lorenzo Mauri
Giacomo Zanella
55
3
0
14 May 2024
Exact Consistency Tests for Gaussian Mixture Filters using Normalized Deviation Squared Statistics
Nisar Ahmed
Luke Burks
Kailah Cabral
Alyssa Bekai Rose
29
2
0
29 Dec 2023
Propagating Kernel Ambiguity Sets in Nonlinear Data-driven Dynamics Models
Jia-Jie Zhu
49
0
0
27 Apr 2023
Variance-Aware Estimation of Kernel Mean Embedding
Geoffrey Wolfer
Pierre Alquier
40
4
0
13 Oct 2022
Private independence testing across two parties
Praneeth Vepakomma
M. Amiri
C. Canonne
Ramesh Raskar
Alex Pentland
42
2
0
08 Jul 2022
Efficient Aggregated Kernel Tests using Incomplete
U
U
U
-statistics
Antonin Schrab
Ilmun Kim
Benjamin Guedj
Arthur Gretton
43
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
George Wynne
Mikolaj Kasprzak
Andrew B. Duncan
47
4
0
09 Jun 2022
AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators
Wenkai Xu
Gesine Reinert
83
4
0
07 Mar 2022
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings
M. Scetbon
Laurent Meunier
Yaniv Romano
34
10
0
28 Oct 2021
Sampling with Mirrored Stein Operators
Jiaxin Shi
Chang-rui Liu
Lester W. Mackey
56
19
0
23 Jun 2021
Standardisation-function Kernel Stein Discrepancy: A Unifying View on Kernel Stein Discrepancy Tests for Goodness-of-fit
Wenkai Xu
41
4
0
23 Jun 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Feng Liu
Wenkai Xu
Jie Lu
Danica J. Sutherland
42
20
0
14 Jun 2021
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
36
35
0
07 May 2021
A Stein Goodness of fit Test for Exponential Random Graph Models
Wenkai Xu
Gesine Reinert
34
5
0
28 Feb 2021
A Unified Joint Maximum Mean Discrepancy for Domain Adaptation
Wei Wang
Baopu Li
Shuhui Yang
Jing Sun
Zhengming Ding
Junyang Chen
Xiao Dong
Zhihui Wang
Haojie Li
49
11
0
25 Jan 2021
Denoising Score Matching with Random Fourier Features
Olga Tsymboi
Yermek Kapushev
Evgeny Burnaev
Ivan Oseledets
44
1
0
13 Jan 2021
Benchmarking Simulation-Based Inference
Jan-Matthis Lueckmann
Jan Boelts
David S. Greenberg
P. J. Gonçalves
Jakob H. Macke
108
190
0
12 Jan 2021
A kernel test for quasi-independence
Tamara Fernández
Wenkai Xu
Marc Ditzhaus
Arthur Gretton
36
2
0
17 Nov 2020
Testing for Normality with Neural Networks
M. Simic
37
6
0
29 Sep 2020
A Kernel Two-Sample Test for Functional Data
George Wynne
Andrew B. Duncan
49
43
0
25 Aug 2020
Stochastic Stein Discrepancies
Jackson Gorham
Anant Raj
Lester W. Mackey
35
37
0
06 Jul 2020
Universal Robust Regression via Maximum Mean Discrepancy
Pierre Alquier
Mathieu Gerber
54
15
0
01 Jun 2020
Learning Deep Kernels for Non-Parametric Two-Sample Tests
Feng Liu
Wenkai Xu
Jie Lu
Guangquan Zhang
Arthur Gretton
Danica J. Sutherland
29
180
0
21 Feb 2020
Minimum Stein Discrepancy Estimators
Alessandro Barp
François‐Xavier Briol
Andrew B. Duncan
Mark Girolami
Lester W. Mackey
38
91
0
19 Jun 2019
Stein Point Markov Chain Monte Carlo
W. Chen
Alessandro Barp
François‐Xavier Briol
Jackson Gorham
Mark Girolami
Lester W. Mackey
Chris J. Oates
51
56
0
09 May 2019
Random Feature Stein Discrepancies
Jonathan H. Huggins
Lester W. Mackey
46
45
0
20 Jun 2018
Bayesian posterior approximation via greedy particle optimization
Futoshi Futami
Zhenghang Cui
Issei Sato
Masashi Sugiyama
40
22
0
21 May 2018
Fisher Efficient Inference of Intractable Models
Song Liu
Takafumi Kanamori
Wittawat Jitkrittum
Yu Chen
42
14
0
18 May 2018
Stein Points
W. Chen
Lester W. Mackey
Jackson Gorham
François‐Xavier Briol
Chris J. Oates
31
102
0
27 Mar 2018
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means
M. Lerasle
Z. Szabó
Gaspar Massiot
Guillaume Lecué
44
36
0
13 Feb 2018
Characteristic and Universal Tensor Product Kernels
Z. Szabó
Bharath K. Sriperumbudur
48
72
0
28 Aug 2017
Measuring Sample Quality with Kernels
Jackson Gorham
Lester W. Mackey
91
223
0
06 Mar 2017
A Kernel Test of Goodness of Fit
Kacper P. Chwialkowski
Heiko Strathmann
Arthur Gretton
BDL
123
325
0
09 Feb 2016
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