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Measuring and testing dependence by correlation of distances

Measuring and testing dependence by correlation of distances

28 March 2008
G. Székely
Maria L. Rizzo
N. K. Bakirov
ArXivPDFHTML

Papers citing "Measuring and testing dependence by correlation of distances"

49 / 99 papers shown
Title
XDEEP-MSI: Explainable Bias-Rejecting Microsatellite Instability Deep
  Learning System In Colorectal Cancer
XDEEP-MSI: Explainable Bias-Rejecting Microsatellite Instability Deep Learning System In Colorectal Cancer
A. Bustos
A. Payá
A. Torrubia
R. Jover
X. Llor
X. Bessa
A. Castells
C. Alenda
13
11
0
28 Oct 2021
Data-Driven Representations for Testing Independence: Modeling, Analysis
  and Connection with Mutual Information Estimation
Data-Driven Representations for Testing Independence: Modeling, Analysis and Connection with Mutual Information Estimation
Mauricio E. Gonzalez
Jorge F. Silva
M. Videla
Marcos E. Orchard
19
10
0
27 Oct 2021
Private measurement of nonlinear correlations between data hosted across
  multiple parties
Private measurement of nonlinear correlations between data hosted across multiple parties
Praneeth Vepakomma
Subha Nawer Pushpita
Ramesh Raskar
12
2
0
19 Oct 2021
On a multivariate copula-based dependence measure and its estimation
On a multivariate copula-based dependence measure and its estimation
Florian Griessenberger
R. Junker
W. Trutschnig
69
25
0
27 Sep 2021
A Cautionary Tale of Decorrelating Theory Uncertainties
A Cautionary Tale of Decorrelating Theory Uncertainties
A. Ghosh
Benjamin Nachman
17
17
0
16 Sep 2021
UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label
  Inference Attacks Against Split Learning
UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning
Ege Erdogan
Alptekin Kupcu
A. E. Cicek
FedML
MIACV
21
77
0
20 Aug 2021
The Bias-Variance Tradeoff of Doubly Robust Estimator with Targeted
  $L_1$ regularized Neural Networks Predictions
The Bias-Variance Tradeoff of Doubly Robust Estimator with Targeted L1L_1L1​ regularized Neural Networks Predictions
M. Rostami
O. Saarela
M. Escobar
32
1
0
02 Aug 2021
Subset Privacy: Draw from an Obfuscated Urn
Subset Privacy: Draw from an Obfuscated Urn
G. Wang
Jie Ding
11
2
0
02 Jul 2021
Measuring dependence between random vectors via optimal transport
Measuring dependence between random vectors via optimal transport
Gilles Mordant
Johan Segers
OT
11
24
0
28 Apr 2021
Efficient Bayesian Optimization using Multiscale Graph Correlation
Efficient Bayesian Optimization using Multiscale Graph Correlation
T. Kanazawa
17
2
0
17 Mar 2021
BEAUTY Powered BEAST
BEAUTY Powered BEAST
Kai Zhang
Zhigen Zhao
Wen-Xin Zhou
13
8
0
01 Mar 2021
Using Distance Correlation for Efficient Bayesian Optimization
Using Distance Correlation for Efficient Bayesian Optimization
T. Kanazawa
31
3
0
17 Feb 2021
Learning Intents behind Interactions with Knowledge Graph for
  Recommendation
Learning Intents behind Interactions with Knowledge Graph for Recommendation
Xiang Wang
Tinglin Huang
Dingxian Wang
Yancheng Yuan
Zhenguang Liu
Xiangnan He
Tat-Seng Chua
80
413
0
14 Feb 2021
Asymmetric Private Set Intersection with Applications to Contact Tracing
  and Private Vertical Federated Machine Learning
Asymmetric Private Set Intersection with Applications to Contact Tracing and Private Vertical Federated Machine Learning
Nick Angelou
Ayoub Benaissa
Bogdan Cebere
William Clark
A. Hall
...
Pavlos Papadopoulos
Robin Roehm
R. Sandmann
Phillipp Schoppmann
Tom Titcombe
19
27
0
18 Nov 2020
independence: Fast Rank Tests
independence: Fast Rank Tests
Chaim Even-Zohar
19
11
0
19 Oct 2020
NoPeek: Information leakage reduction to share activations in
  distributed deep learning
NoPeek: Information leakage reduction to share activations in distributed deep learning
Praneeth Vepakomma
Abhishek Singh
O. Gupta
Ramesh Raskar
MIACV
FedML
11
84
0
20 Aug 2020
Minimax optimality of permutation tests
Minimax optimality of permutation tests
Ilmun Kim
Sivaraman Balakrishnan
Larry A. Wasserman
19
47
0
30 Mar 2020
Testing Conditional Independence via Quantile Regression Based Partial
  Copulas
Testing Conditional Independence via Quantile Regression Based Partial Copulas
Lasse Petersen
N. Hansen
17
14
0
29 Mar 2020
Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble
  Method
Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method
Pengzhou (Abel) Wu
Kenji Fukumizu
CML
22
26
0
07 Jan 2020
The Chi-Square Test of Distance Correlation
The Chi-Square Test of Distance Correlation
Cencheng Shen
Sambit Panda
Joshua T. Vogelstein
14
57
0
27 Dec 2019
Identification of Interaction Clusters Using a Semi-supervised
  Hierarchical Clustering Method
Identification of Interaction Clusters Using a Semi-supervised Hierarchical Clustering Method
Yu Chen
Yuanyuan Yang
Yaochu Jin
Xiufen Zou
6
0
0
20 Oct 2019
Measurement Dependence Inducing Latent Causal Models
Measurement Dependence Inducing Latent Causal Models
Alex Markham
Moritz Grosse-Wentrup
CML
11
15
0
19 Oct 2019
Multivariate Rank-based Distribution-free Nonparametric Testing using
  Measure Transportation
Multivariate Rank-based Distribution-free Nonparametric Testing using Measure Transportation
Nabarun Deb
B. Sen
26
129
0
18 Sep 2019
AMIC: An Adaptive Information Theoretic Method to Identify Multi-Scale
  Temporal Correlations in Big Time Series Data -- Accepted Version
AMIC: An Adaptive Information Theoretic Method to Identify Multi-Scale Temporal Correlations in Big Time Series Data -- Accepted Version
N. Ho
H. Vo
M. Vu
T. Pedersen
AI4TS
8
13
0
24 Jun 2019
On the Detection of Mutual Influences and Their Consideration in
  Reinforcement Learning Processes
On the Detection of Mutual Influences and Their Consideration in Reinforcement Learning Processes
Stefan Rudolph
Sven Tomforde
J. Hähner
14
1
0
10 May 2019
SECNLP: A Survey of Embeddings in Clinical Natural Language Processing
SECNLP: A Survey of Embeddings in Clinical Natural Language Processing
Katikapalli Subramanyam Kalyan
S. Sangeetha
12
82
0
04 Mar 2019
New statistical methodology for second level global sensitivity analysis
New statistical methodology for second level global sensitivity analysis
Anouar Meynaoui
A. Marrel
Béatrice Laurent
22
14
0
19 Feb 2019
Generative Adversarial Networks for geometric surfaces prediction in
  injection molding
Generative Adversarial Networks for geometric surfaces prediction in injection molding
Pierre Nagorny
Thomas Lacombe
H. Favrelière
Maurice Pillet
É. Pairel
R. Goff
Marlène Wali
Jérôme Loureaux
Patrice Kiener
GAN
AI4CE
11
2
0
29 Jan 2019
Tests for validity of the semiparametric heteroskedastic transformation
  model
Tests for validity of the semiparametric heteroskedastic transformation model
M. Hušková
S. Meintanis
C. Pretorius
19
2
0
09 Jan 2019
An Overview of Computational Approaches for Interpretation Analysis
An Overview of Computational Approaches for Interpretation Analysis
Philipp Blandfort
Jörn Hees
D. Patton
19
2
0
09 Nov 2018
The conditional permutation test for independence while controlling for
  confounders
The conditional permutation test for independence while controlling for confounders
Thomas B. Berrett
Yi Wang
Rina Foygel Barber
R. Samworth
30
16
0
14 Jul 2018
Distance covariance for discretized stochastic processes
Distance covariance for discretized stochastic processes
H. Dehling
Muneya Matsui
T. Mikosch
G. Samorodnitsky
L. Tafakori
17
14
0
25 Jun 2018
Causal Inference on Discrete Data via Estimating Distance Correlations
Causal Inference on Discrete Data via Estimating Distance Correlations
Furui Liu
L. Chan
CML
11
31
0
21 Mar 2018
Threshold Selection for Multivariate Heavy-Tailed Data
Threshold Selection for Multivariate Heavy-Tailed Data
Phyllis Wan
Richard A. Davis
19
14
0
03 Jul 2017
Decorrelation of Neutral Vector Variables: Theory and Applications
Decorrelation of Neutral Vector Variables: Theory and Applications
Zhanyu Ma
Jing-Hao Xue
A. Leijon
Z. Tan
Zhen Yang
Jun Guo
19
114
0
30 May 2017
BET on Independence
BET on Independence
Kai Zhang
13
47
0
17 Oct 2016
Multivariate tests of association based on univariate tests
Multivariate tests of association based on univariate tests
R. Heller
Yair Heller
CoGe
10
26
0
10 Mar 2016
Modular Autoencoders for Ensemble Feature Extraction
Modular Autoencoders for Ensemble Feature Extraction
Henry W. J. Reeve
Gavin Brown
24
8
0
23 Nov 2015
On the use of reproducing kernel Hilbert spaces in functional
  classification
On the use of reproducing kernel Hilbert spaces in functional classification
J. Berrendero
Antonio Cuevas
J. L. Torrecilla
21
51
0
15 Jul 2015
Sequential Nonparametric Testing with the Law of the Iterated Logarithm
Sequential Nonparametric Testing with the Law of the Iterated Logarithm
Akshay Balsubramani
Aaditya Ramdas
22
77
0
10 Jun 2015
An Empirical Study of Leading Measures of Dependence
An Empirical Study of Leading Measures of Dependence
David N. Reshef
Yakir A. Reshef
Pardis C Sabeti
Michael Mitzenmacher
30
18
0
09 May 2015
Equitability, interval estimation, and statistical power
Equitability, interval estimation, and statistical power
Yakir A. Reshef
David N. Reshef
Pardis C Sabeti
Michael Mitzenmacher
22
11
0
09 May 2015
A Generalization of an Integral Arising in the Theory of Distance
  Correlation
A Generalization of an Integral Arising in the Theory of Distance Correlation
J. Dueck
Dominic Edelmann
Donald Richards
39
12
0
05 Nov 2014
Fast Computing for Distance Covariance
Fast Computing for Distance Covariance
X. Huo
G. Székely
30
129
0
06 Oct 2014
A low variance consistent test of relative dependency
A low variance consistent test of relative dependency
Wacha Bounliphone
A. Gretton
A. Tenenhaus
Matthew Blaschko
46
9
0
15 Jun 2014
Effect of Different Distance Measures on the Performance of K-Means
  Algorithm: An Experimental Study in Matlab
Effect of Different Distance Measures on the Performance of K-Means Algorithm: An Experimental Study in Matlab
Dibya Jyoti Bora
A. Gupta
33
125
0
29 May 2014
On the optimal estimation of probability measures in weak and strong
  topologies
On the optimal estimation of probability measures in weak and strong topologies
Bharath K. Sriperumbudur
OT
52
64
0
30 Oct 2013
B-tests: Low Variance Kernel Two-Sample Tests
B-tests: Low Variance Kernel Two-Sample Tests
Wojciech Zaremba
A. Gretton
Matthew Blaschko
43
23
0
08 Jul 2013
A consistent test of independence based on a sign covariance related to
  Kendall's tau
A consistent test of independence based on a sign covariance related to Kendall's tau
Wicher P. Bergsma
A. Dassios
87
129
0
24 Jul 2010
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