ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1806.05514
  4. Cited By
The Exact Equivalence of Distance and Kernel Methods for Hypothesis
  Testing
v1v2v3v4v5 (latest)

The Exact Equivalence of Distance and Kernel Methods for Hypothesis Testing

14 June 2018
Cencheng Shen
Joshua T. Vogelstein
ArXiv (abs)PDFHTML

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

15 / 15 papers shown
Fast and Scalable Multi-Kernel Encoder Classifier
Fast and Scalable Multi-Kernel Encoder Classifier
Cencheng Shen
212
2
0
04 Jun 2024
Encoder Embedding for General Graph and Node Classification
Encoder Embedding for General Graph and Node Classification
Cencheng Shen
GNN
225
6
0
24 May 2024
Synergistic Graph Fusion via Encoder Embedding
Synergistic Graph Fusion via Encoder EmbeddingInformation Sciences (Inf. Sci.), 2023
Cencheng Shen
Carey E. Priebe
Jonathan Larson
Ha Trinh
AI4CE
302
8
0
31 Mar 2023
Sample-based Uncertainty Quantification with a Single Deterministic
  Neural Network
Sample-based Uncertainty Quantification with a Single Deterministic Neural NetworkInternational Joint Conference on Computational Intelligence (IJCCI), 2022
T. Kanazawa
Chetan Gupta
UQCV
221
6
0
17 Sep 2022
Hypothesis testing for matched pairs with missing data by maximum mean
  discrepancy: An application to continuous glucose monitoring
Hypothesis testing for matched pairs with missing data by maximum mean discrepancy: An application to continuous glucose monitoringAmerican Statistician (Am. Stat.), 2022
Marcos Matabuena
Paulo Félix
Marc Ditzhaus
J. Vidal
F. Gudé
131
12
0
03 Jun 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
179
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
AuLLMALM
202
31
0
20 Apr 2021
A Spectral Energy Distance for Parallel Speech Synthesis
A Spectral Energy Distance for Parallel Speech Synthesis
A. Gritsenko
Tim Salimans
Rianne van den Berg
Jasper Snoek
Nal Kalchbrenner
235
78
0
03 Aug 2020
High-Dimensional Independence Testing via Maximum and Average Distance Correlations
High-Dimensional Independence Testing via Maximum and Average Distance Correlations
Cencheng Shen
Yuexiao Dong
511
8
0
04 Jan 2020
The Chi-Square Test of Distance Correlation
The Chi-Square Test of Distance CorrelationJournal of Computational And Graphical Statistics (JCGS), 2019
Cencheng Shen
Sambit Panda
Joshua T. Vogelstein
365
79
0
27 Dec 2019
Independence Testing for Temporal Data
Independence Testing for Temporal Data
Cencheng Shen
Jaewon Chung
Ronak R. Mehta
Ting Xu
Joshua T. Vogelstein
431
6
0
18 Aug 2019
Energy distance and kernel mean embedding for two sample survival test
Energy distance and kernel mean embedding for two sample survival test
Marcos Matabuena
88
7
0
03 Jan 2019
Learning Interpretable Characteristic Kernels via Decision Forests
Learning Interpretable Characteristic Kernels via Decision Forests
Sambit Panda
Cencheng Shen
Joshua T. Vogelstein
366
8
0
30 Nov 2018
Kernel k-Groups via Hartigan's Method
Kernel k-Groups via Hartigan's MethodIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017
G. França
Maria L. Rizzo
Joshua T. Vogelstein
230
15
0
26 Oct 2017
Discovering and Deciphering Relationships Across Disparate Data
  Modalities
Discovering and Deciphering Relationships Across Disparate Data Modalities
Joshua T. Vogelstein
Eric W. Bridgeford
Qing Wang
Carey E. Priebe
Mauro Maggioni
Cencheng Shen
423
41
0
16 Sep 2016
1