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A Permutation-free Kernel Two-Sample Test

A Permutation-free Kernel Two-Sample Test

27 November 2022
S. Shekhar
Ilmun Kim
Aaditya Ramdas
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Papers citing "A Permutation-free Kernel Two-Sample Test"

16 / 16 papers shown
Title
From Two Sample Testing to Singular Gaussian Discrimination
From Two Sample Testing to Singular Gaussian Discrimination
Leonardo P. M. Santoro
Kartik G. Waghmare
V. Panaretos
31
0
0
07 May 2025
A Practical Introduction to Kernel Discrepancies: MMD, HSIC & KSD
Antonin Schrab
43
1
0
04 Mar 2025
Slow rates of approximation of U-statistics and V-statistics by
  quadratic forms of Gaussians
Slow rates of approximation of U-statistics and V-statistics by quadratic forms of Gaussians
Kevin Han Huang
Peter Orbanz
23
0
0
18 Jun 2024
Computationally efficient permutation tests for the multivariate
  two-sample problem based on energy distance or maximum mean discrepancy
  statistics
Computationally efficient permutation tests for the multivariate two-sample problem based on energy distance or maximum mean discrepancy statistics
Elias Chaibub Neto
17
1
0
10 Jun 2024
Robust Kernel Hypothesis Testing under Data Corruption
Robust Kernel Hypothesis Testing under Data Corruption
Antonin Schrab
Ilmun Kim
48
3
0
30 May 2024
Combining exchangeable p-values
Combining exchangeable p-values
Matteo Gasparin
Ruodu Wang
Aaditya Ramdas
50
5
0
04 Apr 2024
Time-Uniform Self-Normalized Concentration for Vector-Valued Processes
Time-Uniform Self-Normalized Concentration for Vector-Valued Processes
Justin Whitehouse
Zhiwei Steven Wu
Aaditya Ramdas
65
6
0
13 Oct 2023
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
UQCV
UD
18
1
0
09 Oct 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
A. Gretton
17
19
0
14 Jun 2023
An Efficient Doubly-Robust Test for the Kernel Treatment Effect
An Efficient Doubly-Robust Test for the Kernel Treatment Effect
Diego Martinez-Taboada
Aaditya Ramdas
Edward H. Kennedy
OOD
23
5
0
26 Apr 2023
Boosting the Power of Kernel Two-Sample Tests
Boosting the Power of Kernel Two-Sample Tests
Anirban Chatterjee
B. Bhattacharya
40
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
33
9
0
14 Jan 2023
A Permutation-Free Kernel Independence Test
A Permutation-Free Kernel Independence Test
S. Shekhar
Ilmun Kim
Aaditya Ramdas
29
10
0
18 Dec 2022
RFFNet: Large-Scale Interpretable Kernel Methods via Random Fourier
  Features
RFFNet: Large-Scale Interpretable Kernel Methods via Random Fourier Features
Mateus P. Otto
Rafael Izbicki
32
1
0
11 Nov 2022
AutoML Two-Sample Test
AutoML Two-Sample Test
Jonas M. Kubler
Vincent Stimper
Simon Buchholz
Krikamol Muandet
Bernhard Schölkopf
19
14
0
17 Jun 2022
Dimension-agnostic inference using cross U-statistics
Dimension-agnostic inference using cross U-statistics
Ilmun Kim
Aaditya Ramdas
17
16
0
10 Nov 2020
1