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Classification Logit Two-sample Testing by Neural Networks
v1v2 (latest)

Classification Logit Two-sample Testing by Neural Networks

IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019
25 September 2019
Xiuyuan Cheng
A. Cloninger
ArXiv (abs)PDFHTML

Papers citing "Classification Logit Two-sample Testing by Neural Networks"

24 / 24 papers shown
Sparse, self-organizing ensembles of local kernels detect rare statistical anomalies
Sparse, self-organizing ensembles of local kernels detect rare statistical anomalies
Gaia Grosso
Sai Sumedh R. Hindupur
Thomas Fel
Samuel Bright-Thonney
Philip Harris
Demba Ba
310
2
0
05 Nov 2025
Anchor-based Maximum Discrepancy for Relative Similarity Testing
Anchor-based Maximum Discrepancy for Relative Similarity Testing
Zhijian Zhou
Liuhua Peng
Xunye Tian
Yifan Zhang
167
0
0
12 Oct 2025
Automatic dataset shift identification to support safe deployment of medical imaging AI
Automatic dataset shift identification to support safe deployment of medical imaging AIInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Mélanie Roschewitz
Raghav Mehta
Charles Jones
Ben Glocker
OOD
463
2
0
12 Nov 2024
Learning Representations for Independence Testing
Learning Representations for Independence Testing
Nathaniel Xu
Yifan Zhang
Danica J. Sutherland
OOD
310
0
0
10 Sep 2024
A Practical Guide to Statistical Distances for Evaluating Generative
  Models in Science
A Practical Guide to Statistical Distances for Evaluating Generative Models in Science
Sebastian Bischoff
Alana Darcher
Michael Deistler
Richard Gao
Franziska Gerken
...
Auguste Schulz
Zinovia Stefanidi
Shoji Toyota
Linda Ulmer
Julius Vetter
SyDa
299
5
0
19 Mar 2024
Detecting Machine-Generated Texts by Multi-Population Aware Optimization
  for Maximum Mean Discrepancy
Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
Shuhai Zhang
Yiliao Song
Jiahao Yang
Yuanqing Li
Bo Han
Zhuliang Yu
DeLMO
436
18
0
25 Feb 2024
Convergence of flow-based generative models via proximal gradient
  descent in Wasserstein space
Convergence of flow-based generative models via proximal gradient descent in Wasserstein spaceIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Xiuyuan Cheng
Jianfeng Lu
Yixin Tan
Yao Xie
672
33
0
26 Oct 2023
R-divergence for Estimating Model-oriented Distribution Discrepancy
R-divergence for Estimating Model-oriented Distribution DiscrepancyNeural Information Processing Systems (NeurIPS), 2023
Zhilin Zhao
Longbing Cao
441
3
0
02 Oct 2023
Kernel-Based Tests for Likelihood-Free Hypothesis Testing
Kernel-Based Tests for Likelihood-Free Hypothesis TestingNeural Information Processing Systems (NeurIPS), 2023
P. R. Gerber
Tianze Jiang
Yury Polyanskiy
Rui Sun
VLM
291
4
0
17 Aug 2023
The Representation Jensen-Shannon Divergence
The Representation Jensen-Shannon Divergence
J. Hoyos-Osorio
Santiago Posso-Murillo
L. S. Giraldo
547
12
0
25 May 2023
Sequential Predictive Two-Sample and Independence Testing
Sequential Predictive Two-Sample and Independence TestingNeural Information Processing Systems (NeurIPS), 2023
Aleksandr Podkopaev
Aaditya Ramdas
475
24
0
29 Apr 2023
Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in
  Medical Images
Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images
Lisa M. Koch
C. M. Schurch
Christian F. Baumgartner
Arthur Gretton
Philipp Berens
OOD
237
2
0
08 Mar 2023
Variable Selection for Kernel Two-Sample Tests
Variable Selection for Kernel Two-Sample Tests
Jie Wang
Santanu S. Dey
Yao Xie
386
6
0
15 Feb 2023
Neural network-based CUSUM for online change-point detection
Neural network-based CUSUM for online change-point detection
Tingnan Gong
Junghwan Lee
Xiuyuan Cheng
Yao Xie
564
2
0
31 Oct 2022
E-Valuating Classifier Two-Sample Tests
E-Valuating Classifier Two-Sample Tests
T. Pandeva
Tim Bakker
C. A. Naesseth
Patrick Forré
309
14
0
24 Oct 2022
AutoML Two-Sample Test
AutoML Two-Sample TestNeural Information Processing Systems (NeurIPS), 2022
Jonas M. Kubler
Vincent Stimper
Simon Buchholz
Krikamol Muandet
Bernhard Schölkopf
298
23
0
17 Jun 2022
A Manifold Two-Sample Test Study: Integral Probability Metric with
  Neural Networks
A Manifold Two-Sample Test Study: Integral Probability Metric with Neural NetworksInformation and Inference A Journal of the IMA (JIII), 2022
Jie Wang
Minshuo Chen
Tuo Zhao
Wenjing Liao
Yao Xie
275
8
0
04 May 2022
A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn
  Uncertainty Sets
A Data-Driven Approach to Robust Hypothesis Testing Using Sinkhorn Uncertainty SetsInternational Symposium on Information Theory (ISIT), 2022
Jie Wang
Yao Xie
328
19
0
09 Feb 2022
Neural Tangent Kernel Maximum Mean Discrepancy
Neural Tangent Kernel Maximum Mean DiscrepancyNeural Information Processing Systems (NeurIPS), 2021
Xiuyuan Cheng
Yao Xie
227
24
0
06 Jun 2021
A Witness Two-Sample Test
A Witness Two-Sample TestInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Jonas M. Kubler
Wittawat Jitkrittum
Bernhard Schölkopf
Krikamol Muandet
452
24
0
10 Feb 2021
MMD-Regularized Unbalanced Optimal Transport
MMD-Regularized Unbalanced Optimal Transport
Piyushi Manupriya
SakethaNath Jagarlapudi
Pratik Jawanpuria
OT
1.3K
6
0
10 Nov 2020
Local Two-Sample Testing over Graphs and Point-Clouds by Random-Walk
  Distributions
Local Two-Sample Testing over Graphs and Point-Clouds by Random-Walk Distributions
Boris Landa
Rihao Qu
Joseph T. Chang
Y. Kluger
334
7
0
06 Nov 2020
Learning Kernel Tests Without Data Splitting
Learning Kernel Tests Without Data SplittingNeural Information Processing Systems (NeurIPS), 2020
Jonas M. Kubler
Wittawat Jitkrittum
Bernhard Schölkopf
Krikamol Muandet
347
27
0
03 Jun 2020
Learning Deep Kernels for Non-Parametric Two-Sample Tests
Learning Deep Kernels for Non-Parametric Two-Sample TestsInternational Conference on Machine Learning (ICML), 2020
Yifan Zhang
Wenkai Xu
Jie Lu
Guangquan Zhang
Arthur Gretton
Danica J. Sutherland
414
212
0
21 Feb 2020
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