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On the Optimality of Gaussian Kernel Based Nonparametric Tests against
  Smooth Alternatives

On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives

7 September 2019
Tong Li
M. Yuan
ArXiv (abs)PDFHTML

Papers citing "On the Optimality of Gaussian Kernel Based Nonparametric Tests against Smooth Alternatives"

29 / 29 papers shown
Title
ReLU integral probability metric and its applications
ReLU integral probability metric and its applications
Yuha Park
Kunwoong Kim
Insung Kong
Yongdai Kim
93
0
0
26 Apr 2025
Robust Kernel Hypothesis Testing under Data Corruption
Robust Kernel Hypothesis Testing under Data Corruption
Antonin Schrab
Ilmun Kim
103
4
0
30 May 2024
Binary Hypothesis Testing for Softmax Models and Leverage Score Models
Binary Hypothesis Testing for Softmax Models and Leverage Score Models
Yeqi Gao
Yuzhou Gu
Zhao Song
67
0
0
09 May 2024
Smoothness Adaptive Hypothesis Transfer Learning
Smoothness Adaptive Hypothesis Transfer Learning
Haotian Lin
M. Reimherr
73
8
0
22 Feb 2024
Density estimation using the perceptron
Density estimation using the perceptron
P. R. Gerber
Tianze Jiang
Yury Polyanskiy
Rui Sun
73
0
0
29 Dec 2023
Kernel-Based Tests for Likelihood-Free Hypothesis Testing
Kernel-Based Tests for Likelihood-Free Hypothesis Testing
P. R. Gerber
Tianze Jiang
Yury Polyanskiy
Rui Sun
VLM
55
2
0
17 Aug 2023
Spectral Regularized Kernel Goodness-of-Fit Tests
Spectral Regularized Kernel Goodness-of-Fit Tests
Omar Hagrass
Bharath K. Sriperumbudur
Bing Li
136
4
0
08 Aug 2023
Minimax optimal testing by classification
Minimax optimal testing by classification
P. R. Gerber
Yanjun Han
Yury Polyanskiy
77
3
0
19 Jun 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
Spectral Regularized Kernel Two-Sample Tests
Spectral Regularized Kernel Two-Sample Tests
Omar Hagrass
Bharath K. Sriperumbudur
Bing Li
75
15
0
19 Dec 2022
Online Kernel CUSUM for Change-Point Detection
Online Kernel CUSUM for Change-Point Detection
S. Wei
Yao Xie
99
12
0
28 Nov 2022
A Permutation-free Kernel Two-Sample Test
A Permutation-free Kernel Two-Sample Test
S. Shekhar
Ilmun Kim
Aaditya Ramdas
77
24
0
27 Nov 2022
Likelihood-free hypothesis testing
Likelihood-free hypothesis testing
P. R. Gerber
Yury Polyanskiy
77
7
0
02 Nov 2022
Discussion of `Multiscale Fisher's Independence Test for Multivariate
  Dependence'
Discussion of `Multiscale Fisher's Independence Test for Multivariate Dependence'
Antonin Schrab
Wittawat Jitkrittum
Zoltan Szabo
Dino Sejdinovic
Arthur Gretton
97
0
0
22 Jun 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
111
31
0
18 Jun 2022
KSD Aggregated Goodness-of-fit Test
KSD Aggregated Goodness-of-fit Test
Antonin Schrab
Benjamin Guedj
Arthur Gretton
118
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
Chi-squared test for hypothesis testing of homogeneity
Chi-squared test for hypothesis testing of homogeneity
Mikhail Ermakov
21
0
0
26 Aug 2021
Rates of Estimation of Optimal Transport Maps using Plug-in Estimators
  via Barycentric Projections
Rates of Estimation of Optimal Transport Maps using Plug-in Estimators via Barycentric Projections
Nabarun Deb
Promit Ghosal
B. Sen
OT
126
75
0
04 Jul 2021
Self-Supervised Metric Learning in Multi-View Data: A Downstream Task
  Perspective
Self-Supervised Metric Learning in Multi-View Data: A Downstream Task Perspective
Shulei Wang
SSL
60
3
0
14 Jun 2021
Kernel Two-Sample Tests for Manifold Data
Kernel Two-Sample Tests for Manifold Data
Xiuyuan Cheng
Yao Xie
43
9
0
07 May 2021
A Witness Two-Sample Test
A Witness Two-Sample Test
Jonas M. Kubler
Wittawat Jitkrittum
Bernhard Schölkopf
Krikamol Muandet
88
20
0
10 Feb 2021
Dimension-agnostic inference using cross U-statistics
Dimension-agnostic inference using cross U-statistics
Ilmun Kim
Aaditya Ramdas
129
19
0
10 Nov 2020
High-Dimensional Non-Parametric Density Estimation in Mixed Smooth
  Sobolev Spaces
High-Dimensional Non-Parametric Density Estimation in Mixed Smooth Sobolev Spaces
Liang Ding
Lu Zou
Wei Cao
Shahin Shahrampour
Rui Tuo
13
4
0
05 Jun 2020
Optimal rates for independence testing via $U$-statistic permutation
  tests
Optimal rates for independence testing via UUU-statistic permutation tests
Thomas B. Berrett
Ioannis Kontoyiannis
R. Samworth
62
26
0
15 Jan 2020
Minimax Nonparametric Two-sample Test under Smoothing
Minimax Nonparametric Two-sample Test under Smoothing
Xin Xing
Zuofeng Shang
Pang Du
Ping Ma
Wenxuan Zhong
Jun S. Liu
49
3
0
06 Nov 2019
A new coefficient of correlation
A new coefficient of correlation
S. Chatterjee
109
259
0
23 Sep 2019
Multiscale Fisher's Independence Test for Multivariate Dependence
Multiscale Fisher's Independence Test for Multivariate Dependence
S. Gorsky
L. Ma
42
8
0
18 Jun 2018
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