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The Exact Equivalence of Distance and Kernel Methods for Hypothesis
  Testing

The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing

14 June 2018
Cencheng Shen
Joshua T. Vogelstein
ArXivPDFHTML

Papers citing "The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing"

6 / 6 papers shown
Title
Synergistic Graph Fusion via Encoder Embedding
Synergistic Graph Fusion via Encoder Embedding
Cencheng Shen
Carey E. Priebe
Jonathan Larson
Ha Trinh
AI4CE
33
7
0
31 Mar 2023
Sample-based Uncertainty Quantification with a Single Deterministic
  Neural Network
Sample-based Uncertainty Quantification with a Single Deterministic Neural Network
T. Kanazawa
Chetan Gupta
UQCV
30
4
0
17 Sep 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
20
2
0
19 Oct 2021
Review of end-to-end speech synthesis technology based on deep learning
Review of end-to-end speech synthesis technology based on deep learning
Zhaoxi Mu
Xinyu Yang
Yizhuo Dong
AuLLM
ALM
18
24
0
20 Apr 2021
The Chi-Square Test of Distance Correlation
The Chi-Square Test of Distance Correlation
Cencheng Shen
Sambit Panda
Joshua T. Vogelstein
22
57
0
27 Dec 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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