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A fast algorithm for computing distance correlation

A fast algorithm for computing distance correlation

26 October 2018
A. Chaudhuri
Wenhao Hu
ArXivPDFHTML

Papers citing "A fast algorithm for computing distance correlation"

11 / 11 papers shown
Title
Explaining Categorical Feature Interactions Using Graph Covariance and LLMs
Cencheng Shen
Darren Edge
Jonathan Larson
Carey E. Priebe
34
1
0
28 Jan 2025
U-Statistic Reduction: Higher-Order Accurate Risk Control and
  Statistical-Computational Trade-Off, with Application to Network
  Method-of-Moments
U-Statistic Reduction: Higher-Order Accurate Risk Control and Statistical-Computational Trade-Off, with Application to Network Method-of-Moments
Meijia Shao
Dong Xia
Yuan Zhang
31
2
0
06 Jun 2023
Measuring Statistical Dependencies via Maximum Norm and Characteristic
  Functions
Measuring Statistical Dependencies via Maximum Norm and Characteristic Functions
P. Daniušis
Shubham Juneja
Lukas Kuzma
Virginijus Marcinkevičius
33
1
0
16 Aug 2022
Early Detection of Ovarian Cancer by Wavelet Analysis of Protein Mass
  Spectra
Early Detection of Ovarian Cancer by Wavelet Analysis of Protein Mass Spectra
Dixon Vimalajeewa
S. Bruce
B. Vidakovic
15
8
0
14 Jul 2022
Label Leakage and Protection from Forward Embedding in Vertical
  Federated Learning
Label Leakage and Protection from Forward Embedding in Vertical Federated Learning
Jiankai Sun
Xin Yang
Yuanshun Yao
Chong-Jun Wang
FedML
36
37
0
02 Mar 2022
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
25
2
0
19 Oct 2021
Defending against Reconstruction Attack in Vertical Federated Learning
Defending against Reconstruction Attack in Vertical Federated Learning
Jiankai Sun
Yuanshun Yao
Weihao Gao
Junyuan Xie
Chong-Jun Wang
AAML
FedML
16
28
0
21 Jul 2021
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
21
84
0
20 Aug 2020
The Chi-Square Test of Distance Correlation
The Chi-Square Test of Distance Correlation
Cencheng Shen
Sambit Panda
Joshua T. Vogelstein
27
57
0
27 Dec 2019
Approximate Bayesian computation via the energy statistic
Approximate Bayesian computation via the energy statistic
Hien Nguyen
Julyan Arbel
Hongliang Lü
F. Forbes
22
28
0
14 May 2019
Measuring and testing dependence by correlation of distances
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
177
2,577
0
28 Mar 2008
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