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Learning Kernel Tests Without Data Splitting
v1v2v3 (latest)

Learning Kernel Tests Without Data Splitting

3 June 2020
Jonas M. Kubler
Wittawat Jitkrittum
Bernhard Schölkopf
Krikamol Muandet
ArXiv (abs)PDFHTML

Papers citing "Learning Kernel Tests Without Data Splitting"

16 / 16 papers shown
Title
A Unified Data Representation Learning for Non-parametric Two-sample Testing
A Unified Data Representation Learning for Non-parametric Two-sample Testing
Xunye Tian
Liuhua Peng
Zhijian Zhou
Mingming Gong
Feng Liu
Feng Liu
115
0
0
30 Nov 2024
Learning Deep Kernels for Non-Parametric Independence Testing
Learning Deep Kernels for Non-Parametric Independence Testing
Nathaniel Xu
Feng Liu
Danica J. Sutherland
BDL
85
0
0
10 Sep 2024
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative
  Models
A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models
Sebastian G. Gruber
Florian Buettner
UQCVUD
53
1
0
09 Oct 2023
Towards Practicable Sequential Shift Detectors
Towards Practicable Sequential Shift Detectors
Oliver Cobb
A. V. Looveren
59
0
0
27 Jul 2023
MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without
  Data Splitting
MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting
Felix Biggs
Antonin Schrab
Arthur Gretton
93
21
0
14 Jun 2023
Boosting the Power of Kernel Two-Sample Tests
Boosting the Power of Kernel Two-Sample Tests
Anirban Chatterjee
B. Bhattacharya
70
3
0
21 Feb 2023
Compress Then Test: Powerful Kernel Testing in Near-linear Time
Compress Then Test: Powerful Kernel Testing in Near-linear Time
Carles Domingo-Enrich
Raaz Dwivedi
Lester W. Mackey
141
10
0
14 Jan 2023
Efficient Aggregated Kernel Tests using Incomplete $U$-statistics
Efficient Aggregated Kernel Tests using Incomplete UUU-statistics
Antonin Schrab
Ilmun Kim
Benjamin Guedj
Arthur Gretton
111
31
0
18 Jun 2022
AutoML Two-Sample Test
AutoML Two-Sample Test
Jonas M. Kubler
Vincent Stimper
Simon Buchholz
Krikamol Muandet
Bernhard Schölkopf
75
17
0
17 Jun 2022
Collaborative likelihood-ratio estimation over graphs
Collaborative likelihood-ratio estimation over graphs
Alejandro de la Concha
Nicolas Vayatis
Argyris Kalogeratos
67
1
0
28 May 2022
KSD Aggregated Goodness-of-fit Test
KSD Aggregated Goodness-of-fit Test
Antonin Schrab
Benjamin Guedj
Arthur Gretton
116
19
0
02 Feb 2022
MMD Aggregated Two-Sample Test
MMD Aggregated Two-Sample Test
Antonin Schrab
Ilmun Kim
Mélisande Albert
Béatrice Laurent
Benjamin Guedj
Arthur Gretton
102
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
70
4
0
23 Jun 2021
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
Feng Liu
Wenkai Xu
Jie Lu
Danica J. Sutherland
84
24
0
14 Jun 2021
Neural Tangent Kernel Maximum Mean Discrepancy
Neural Tangent Kernel Maximum Mean Discrepancy
Xiuyuan Cheng
Yao Xie
60
21
0
06 Jun 2021
A Witness Two-Sample Test
A Witness Two-Sample Test
Jonas M. Kubler
Wittawat Jitkrittum
Bernhard Schölkopf
Krikamol Muandet
84
20
0
10 Feb 2021
1