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On the High-dimensional Power of Linear-time Kernel Two-Sample Testing
  under Mean-difference Alternatives

On the High-dimensional Power of Linear-time Kernel Two-Sample Testing under Mean-difference Alternatives

23 November 2014
Aaditya Ramdas
Sashank J. Reddi
Barnabás Póczós
Aarti Singh
Larry A. Wasserman
ArXiv (abs)PDFHTML

Papers citing "On the High-dimensional Power of Linear-time Kernel Two-Sample Testing under Mean-difference Alternatives"

5 / 5 papers shown
Title
Wasserstein GAN
Wasserstein GAN
Martín Arjovsky
Soumith Chintala
Léon Bottou
GAN
179
4,829
0
26 Jan 2017
On the Decreasing Power of Kernel and Distance based Nonparametric
  Hypothesis Tests in High Dimensions
On the Decreasing Power of Kernel and Distance based Nonparametric Hypothesis Tests in High Dimensions
Sashank J. Reddi
Aaditya Ramdas
Barnabás Póczós
Aarti Singh
Larry A. Wasserman
80
5
0
09 Jun 2014
Equivalence of distance-based and RKHS-based statistics in hypothesis
  testing
Equivalence of distance-based and RKHS-based statistics in hypothesis testing
Dino Sejdinovic
Bharath K. Sriperumbudur
Arthur Gretton
Kenji Fukumizu
227
688
0
25 Jul 2012
A More Powerful Two-Sample Test in High Dimensions using Random
  Projection
A More Powerful Two-Sample Test in High Dimensions using Random Projection
Miles E. Lopes
Laurent Jacob
Martin J. Wainwright
84
139
0
11 Aug 2011
A two-sample test for high-dimensional data with applications to
  gene-set testing
A two-sample test for high-dimensional data with applications to gene-set testing
Songxi Chen
Yingli Qin
105
576
0
24 Feb 2010
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