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Classification accuracy as a proxy for two sample testing

Classification accuracy as a proxy for two sample testing

6 February 2016
Ilmun Kim
Aaditya Ramdas
Aarti Singh
Larry A. Wasserman
ArXivPDFHTML

Papers citing "Classification accuracy as a proxy for two sample testing"

45 / 45 papers shown
Title
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
Jialong Jiang
Wenkang Hu
Jian Huang
Yuling Jiao
Xu Liu
DiffM
50
0
0
08 May 2025
General Frameworks for Conditional Two-Sample Testing
General Frameworks for Conditional Two-Sample Testing
Seongchan Lee
Suman Cha
Ilmun Kim
33
0
0
22 Oct 2024
Benchmarking the Fidelity and Utility of Synthetic Relational Data
Benchmarking the Fidelity and Utility of Synthetic Relational Data
Valter Hudovernik
Martin Jurkovič
Erik Štrumbelj
46
2
0
04 Oct 2024
Two-Sample Testing with a Graph-Based Total Variation Integral
  Probability Metric
Two-Sample Testing with a Graph-Based Total Variation Integral Probability Metric
Alden Green
Sivaraman Balakrishnan
R. Tibshirani
18
1
0
24 Sep 2024
A density ratio framework for evaluating the utility of synthetic data
A density ratio framework for evaluating the utility of synthetic data
Thom Benjamin Volker
Peter-Paul de Wolf
E. V. Kesteren
19
0
0
23 Aug 2024
Deep anytime-valid hypothesis testing
Deep anytime-valid hypothesis testing
T. Pandeva
Patrick Forré
Aaditya Ramdas
S. Shekhar
35
3
0
30 Oct 2023
A framework for paired-sample hypothesis testing for high-dimensional
  data
A framework for paired-sample hypothesis testing for high-dimensional data
I. Bargiotas
Argyris Kalogeratos
Nicolas Vayatis
19
0
0
28 Sep 2023
Kernel-Based Testing for Single-Cell Differential Analysis
Kernel-Based Testing for Single-Cell Differential Analysis
Anthony Ozier-Lafontaine
Camille Fourneaux
G. Durif
Polina Arsenteva
C. Vallot
O. Gandrillon
Sandrine Giraud
Bertrand Michel
Franck Picard
29
5
0
17 Jul 2023
Minimax optimal testing by classification
Minimax optimal testing by classification
P. R. Gerber
Yanjun Han
Yury Polyanskiy
33
3
0
19 Jun 2023
MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of
  Deep Neural Networks
MAGDiff: Covariate Data Set Shift Detection via Activation Graphs of Deep Neural Networks
Charles Arnal
Felix Hensel
Mathieu Carrière
Théo Lacombe
Hiroaki Kurihara
Yuichi Ike
Frédéric Chazal
17
2
0
22 May 2023
Sequential Predictive Two-Sample and Independence Testing
Sequential Predictive Two-Sample and Independence Testing
Aleksandr Podkopaev
Aaditya Ramdas
32
11
0
29 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
Two-sample test based on Self-Organizing Maps
Two-sample test based on Self-Organizing Maps
A. Álvarez-Ayllón
M. Palomo-duarte
J. Dodero
11
0
0
17 Dec 2022
MMD-B-Fair: Learning Fair Representations with Statistical Testing
MMD-B-Fair: Learning Fair Representations with Statistical Testing
Namrata Deka
Danica J. Sutherland
20
6
0
15 Nov 2022
Likelihood-free hypothesis testing
Likelihood-free hypothesis testing
P. R. Gerber
Yury Polyanskiy
20
7
0
02 Nov 2022
E-Valuating Classifier Two-Sample Tests
E-Valuating Classifier Two-Sample Tests
T. Pandeva
Tim Bakker
C. A. Naesseth
Patrick Forré
28
10
0
24 Oct 2022
AutoML Two-Sample Test
AutoML Two-Sample Test
Jonas M. Kubler
Vincent Stimper
Simon Buchholz
Krikamol Muandet
Bernhard Schölkopf
24
14
0
17 Jun 2022
Adversarial random forests for density estimation and generative
  modeling
Adversarial random forests for density estimation and generative modeling
David S. Watson
Kristin Blesch
Jan Kapar
Marvin N. Wright
GAN
65
20
0
19 May 2022
A hypothesis-driven method based on machine learning for neuroimaging
  data analysis
A hypothesis-driven method based on machine learning for neuroimaging data analysis
J. Górriz
R. Martín-Clemente
C. Puntonet
A. Ortiz
J. Ramírez
J. Suckling
22
6
0
09 Feb 2022
The Lifecycle of a Statistical Model: Model Failure Detection,
  Identification, and Refitting
The Lifecycle of a Statistical Model: Model Failure Detection, Identification, and Refitting
Alnur Ali
Maxime Cauchois
John C. Duchi
19
2
0
08 Feb 2022
Detecting Distributional Differences in Labeled Sequence Data with
  Application to Tropical Cyclone Satellite Imagery
Detecting Distributional Differences in Labeled Sequence Data with Application to Tropical Cyclone Satellite Imagery
Trey McNeely
Galen B. Vincent
Kimberly M. Wood
Rafael Izbicki
Ann B. Lee
18
4
0
04 Feb 2022
A new ranking scheme for modern data and its application to two-sample
  hypothesis testing
A new ranking scheme for modern data and its application to two-sample hypothesis testing
D. Zhou
Hao Chen
6
3
0
24 Dec 2021
Local permutation tests for conditional independence
Local permutation tests for conditional independence
Ilmun Kim
Matey Neykov
Sivaraman Balakrishnan
Larry A. Wasserman
31
27
0
22 Dec 2021
Nonparametric Two-Sample Testing by Betting
Nonparametric Two-Sample Testing by Betting
S. Shekhar
Aaditya Ramdas
23
25
0
16 Dec 2021
Identifying Distributional Differences in Convective Evolution Prior to
  Rapid Intensification in Tropical Cyclones
Identifying Distributional Differences in Convective Evolution Prior to Rapid Intensification in Tropical Cyclones
Trey McNeely
Galen B. Vincent
Rafael Izbicki
Kimberly M. Wood
Ann B. Lee
9
0
0
24 Sep 2021
Deep Learning-Based Estimation and Goodness-of-Fit for Large-Scale
  Confirmatory Item Factor Analysis
Deep Learning-Based Estimation and Goodness-of-Fit for Large-Scale Confirmatory Item Factor Analysis
Christopher J. Urban
Daniel J. Bauer
CML
15
1
0
20 Sep 2021
Test for non-negligible adverse shifts
Test for non-negligible adverse shifts
Vathy M. Kamulete
15
3
0
07 Jul 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
18
19
0
14 Jun 2021
Testing for Outliers with Conformal p-values
Testing for Outliers with Conformal p-values
Stephen Bates
Emmanuel Candès
Lihua Lei
Yaniv Romano
Matteo Sesia
23
134
0
16 Apr 2021
A Witness Two-Sample Test
A Witness Two-Sample Test
Jonas M. Kubler
Wittawat Jitkrittum
Bernhard Schölkopf
Krikamol Muandet
18
17
0
10 Feb 2021
A connection between the pattern classification problem and the General
  Linear Model for statistical inference
A connection between the pattern classification problem and the General Linear Model for statistical inference
Juan M Gorriz
SIPBA group
J. Suckling
11
7
0
16 Dec 2020
Dimension-agnostic inference using cross U-statistics
Dimension-agnostic inference using cross U-statistics
Ilmun Kim
Aaditya Ramdas
33
16
0
10 Nov 2020
Two-sample Test using Projected Wasserstein Distance
Two-sample Test using Projected Wasserstein Distance
Jie Wang
Rui Gao
Yao Xie
24
19
0
22 Oct 2020
Testing for Normality with Neural Networks
Testing for Normality with Neural Networks
M. Simic
27
6
0
29 Sep 2020
Learning Kernel Tests Without Data Splitting
Learning Kernel Tests Without Data Splitting
Jonas M. Kubler
Wittawat Jitkrittum
Bernhard Schölkopf
Krikamol Muandet
8
22
0
03 Jun 2020
High Probability Lower Bounds for the Total Variation Distance
High Probability Lower Bounds for the Total Variation Distance
Loris Michel
Jeffrey Näf
N. Meinshausen
6
3
0
12 May 2020
On the power of conditional independence testing under model-X
On the power of conditional independence testing under model-X
Eugene Katsevich
Aaditya Ramdas
CML
19
11
0
12 May 2020
Learning Deep Kernels for Non-Parametric Two-Sample Tests
Learning Deep Kernels for Non-Parametric Two-Sample Tests
Feng Liu
Wenkai Xu
Jie Lu
Guangquan Zhang
Arthur Gretton
Danica J. Sutherland
19
176
0
21 Feb 2020
Statistical Agnostic Mapping: a Framework in Neuroimaging based on
  Concentration Inequalities
Statistical Agnostic Mapping: a Framework in Neuroimaging based on Concentration Inequalities
Juan M Gorriz
et al.
Mashrur Chowdhury
34
22
0
27 Dec 2019
Two-sample Testing Using Deep Learning
Two-sample Testing Using Deep Learning
Matthias Kirchler
S. Khorasani
Marius Kloft
C. Lippert
8
37
0
14 Oct 2019
Classification Logit Two-sample Testing by Neural Networks
Classification Logit Two-sample Testing by Neural Networks
Xiuyuan Cheng
A. Cloninger
27
31
0
25 Sep 2019
Two-Sample Test Based on Classification Probability
Two-Sample Test Based on Classification Probability
H. Cai
Bryan Goggin
Qingtang Jiang
OOD
8
14
0
17 Sep 2019
Validation of Approximate Likelihood and Emulator Models for
  Computationally Intensive Simulations
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations
Niccolò Dalmasso
Ann B. Lee
Rafael Izbicki
T. Pospisil
Ilmun Kim
Chieh-An Lin
21
8
0
27 May 2019
Failing Loudly: An Empirical Study of Methods for Detecting Dataset
  Shift
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift
Stephan Rabanser
Stephan Günnemann
Zachary Chase Lipton
33
357
0
29 Oct 2018
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
78
390
0
20 Oct 2016
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