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A Witness Two-Sample Test
v1v2v3 (latest)

A Witness Two-Sample Test

International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
10 February 2021
Jonas M. Kubler
Wittawat Jitkrittum
Bernhard Schölkopf
Krikamol Muandet
ArXiv (abs)PDFHTML

Papers citing "A Witness Two-Sample Test"

15 / 15 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
307
2
0
05 Nov 2025
A Unified Data Representation Learning for Non-parametric Two-sample Testing
A Unified Data Representation Learning for Non-parametric Two-sample TestingConference on Uncertainty in Artificial Intelligence (UAI), 2024
Xunye Tian
Liuhua Peng
Zhijian Zhou
Mingming Gong
Feng Liu
Yifan Zhang
456
2
0
30 Nov 2024
Learning Representations for Independence Testing
Learning Representations for Independence Testing
Nathaniel Xu
Yifan Zhang
Danica J. Sutherland
OOD
306
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
294
5
0
19 Mar 2024
On Ranking-based Tests of Independence
On Ranking-based Tests of IndependenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Myrto Limnios
Nathan Huet
253
1
0
12 Mar 2024
Kernel-Based Testing for Single-Cell Differential Analysis
Kernel-Based Testing for Single-Cell Differential AnalysisGenome Biology (Genome Biol.), 2023
Anthony Ozier-Lafontaine
Camille Fourneaux
G. Durif
Polina Arsenteva
C. Vallot
O. Gandrillon
Sandrine Giraud
Bertrand Michel
Franck Picard
351
10
0
17 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 SplittingNeural Information Processing Systems (NeurIPS), 2023
Felix Biggs
Antonin Schrab
Arthur Gretton
368
36
0
14 Jun 2023
Auditing and Generating Synthetic Data with Controllable Trust
  Trade-offs
Auditing and Generating Synthetic Data with Controllable Trust Trade-offsIEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2023
Brian M. Belgodere
Pierre Dognin
Adam Ivankay
Igor Melnyk
Youssef Mroueh
...
Mattia Rigotti
Jerret Ross
Yair Schiff
Radhika Vedpathak
Richard A. Young
604
20
0
21 Apr 2023
Variable Selection for Kernel Two-Sample Tests
Variable Selection for Kernel Two-Sample Tests
Jie Wang
Santanu S. Dey
Yao Xie
385
6
0
15 Feb 2023
A Permutation-free Kernel Two-Sample Test
A Permutation-free Kernel Two-Sample TestNeural Information Processing Systems (NeurIPS), 2022
S. Shekhar
Ilmun Kim
Aaditya Ramdas
398
35
0
27 Nov 2022
Efficient Aggregated Kernel Tests using Incomplete $U$-statistics
Efficient Aggregated Kernel Tests using Incomplete UUU-statisticsNeural Information Processing Systems (NeurIPS), 2022
Antonin Schrab
Ilmun Kim
Benjamin Guedj
Arthur Gretton
565
37
0
18 Jun 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
KSD Aggregated Goodness-of-fit Test
KSD Aggregated Goodness-of-fit TestNeural Information Processing Systems (NeurIPS), 2022
Antonin Schrab
Benjamin Guedj
Arthur Gretton
727
23
0
02 Feb 2022
MMD Aggregated Two-Sample Test
MMD Aggregated Two-Sample TestJournal of machine learning research (JMLR), 2021
Antonin Schrab
Ilmun Kim
Mélisande Albert
Béatrice Laurent
Benjamin Guedj
Arthur Gretton
501
88
0
28 Oct 2021
Dimension-agnostic inference using cross U-statistics
Dimension-agnostic inference using cross U-statistics
Ilmun Kim
Aaditya Ramdas
916
31
0
10 Nov 2020
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