Fetching the paper…
Reading the bibliography…
We propose a framework for analyzing and comparing distributions, allowing us to design statistical tests to determine if two samples are drawn from different distributions.
Functions of positive and negative type and their connection with the theory of integral equations
J. Mercer · 1909
Earlier work this paper cites.
On the estimation of the discrepancy between empirical curves of distribution for two independent samples
N.V. Smirnov · 1939
Earlier work this paper cites.
A note on skewness and kurtosis
J. E. Wilkins · 1944
Earlier work this paper cites.
A class of statistics with asymptotically normal distribution
Wassily Hoeffding · 1948
Earlier work this paper cites.
Convergence de la réparation empirique vers la réparation théorique
R. Fortet and E. Mourier · 1953
Earlier work this paper cites.
The Hungarian method for the assignment problem
H.W. Kuhn · 1955
Earlier work this paper cites.
Probability inequalities for sums of bounded random variables
W. Hoeffding · 1963
Earlier work this paper cites.
A distribution free version of the Smirnov two sample test in the p-variate case
P. Bickel · 1969
Earlier work this paper cites.
An Introduction to Probability Theory and its Applications
W. Feller · 1971
Earlier work this paper cites.
Multivariate generalizations of the Wald-Wolfowitz and Smirnov two-sample tests
J. Friedman and L. Rafsky · 1979
Earlier work this paper cites.
Approximation Theorems of Mathematical Statistics
R. Serfling · 1980
Earlier work this paper cites.
Density estimation for statistical and data analysis
B. W. Silverman · 1986
Earlier work this paper cites.
On the method of bounded differences
C. McDiarmid · 1989
Earlier work this paper cites.
On the bootstrap of u u and v v statistics
M. Arcones and E. Giné · 1992
Earlier work this paper cites.
A consistent test for bivariate dependence
Andrey Feuerverger · 1993
Earlier work this paper cites.
Two-sample test statistics for measuring discrepancies between two multivariate probability density functions using kernel-based density estimates
N. Anderson, P. Hall, and D. Titterington · 1994
Earlier work this paper cites.
Independent component analysis, a new concept?
P. Comon · 1994
Earlier work this paper cites.
Continuous Univariate Distributions. Volume 1 (Second Edition)
N. L. Johnson, S. Kotz, and N. Balakrishnan · 1994
Earlier work this paper cites.
Numerical Recipes in C. The Art of Scientific Computation
W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery · 1994
Earlier work this paper cites.
Consistent Testing of Total Independence Based on the Empirical Characteristic Function
A. Kankainen · 1995
Earlier work this paper cites.
Weak Convergence and Empirical Processes
A. W. van der Vaart and J. A. Wellner · 1996
Earlier work this paper cites.
Integral probability metrics and their generating classes of functions
A. Müller · 1997
Earlier work this paper cites.
Support Vector Learning
B. Schölkopf · 1997
Earlier work this paper cites.
UCI repository of machine learning databases, 1998
C. L. Blake and C. J. Merz · 1998
Earlier work this paper cites.
On the multivariate runs test
N. Henze and M. Penrose · 1999
Cited alongside, same era.
Data domain description by support vectors
D. M. J. Tax and R. P. W. Duin · 1999
Cited alongside, same era.
A minimum spanning tree algorithm with inverse-ackermann type complexity
B. Chazelle · 2000
Cited alongside, same era.
The earth mover’s distance as a metric for image retrieval
Y. Rubner, C. Tomasi, and L.J. Guibas · 2000
Cited alongside, same era.
Sparse greedy matrix approximation for machine learning
A. J. Smola and B. Schölkopf · 2000
Cited alongside, same era.
Efficient SVM training using low-rank kernel representations
S. Fine and K. Scheinberg · 2001
Cited alongside, same era.
Kernel Methods in Computational Biology
B. Schölkopf, K. Tsuda, and J.-P. Vert · 2004
Later among the works it cites.
Kernel Methods for Pattern Analysis
J. Shawe-Taylor and N. Cristianini · 2004
Later among the works it cites.
On the asymptotic properties of a nonparametric l 1 l_{1} -test statistic of homogeneity
G. Biau and L. Gyorfi · 2005
Later among the works it cites.
Protein function prediction via graph kernels
K. M. Borgwardt, C. S. Ong, S. Schonauer, S. V. N. Vishwanathan, A. J. Smola, and H. P. Kriegel · 2005
Later among the works it cites.
Theory of classification: a survey of recent advances
O. Bousquet, S. Boucheron, and G. Lugosi · 2005
Later among the works it cites.
An exact distribution-free test comparing two multivariate distributions based on adjacency
P. Rosenbaum · 2005
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
G. R. Grimmet and D. R. Stirzaker · 2001
Cited alongside, same era.
Estimating the support of a high-dimensional distribution
B. Schölkopf, J. Platt, J. Shawe-Taylor, A. J. Smola, and R. C. Williamson · 2001
Cited alongside, same era.
On the influence of the kernel on the consistency of support vector machines
I. Steinwart · 2001
Cited alongside, same era.
Using the Nystrom method to speed up kernel machines
Christoper K. I. Williams and Matthias Seeger · 2001
Cited alongside, same era.
Kernel independent component analysis
F. R. Bach and M. I. Jordan · 2002
Cited alongside, same era.
Rademacher and Gaussian complexities: Risk bounds and structural results
P. L. Bartlett and S. Mendelson · 2002
Cited alongside, same era.
Unifying divergence minimization and statistical inference via convex duality
Y. Altun and A.J. Smola · 2006
Later among the works it cites.
Integrating structured biological data by kernel maximum mean discrepancy
K. M. Borgwardt, A. Gretton, M. J. Rasch, H.-P. Kriegel, B. Schölkopf, and A. J. Smola · 2006
Later among the works it cites.
Maximum entropy distribution estimation with generalized regularization
M. Dudík and R. E. Schapire · 2006
Later among the works it cites.
Universal kernels
C. Micchelli, Y. Xu, and H. Zhang · 2006
Later among the works it cites.
Nonparametric quantile estimation
I. Takeuchi, Q.V. Le, T. Sears, and A.J. Smola · 2006
Later among the works it cites.
Analysis of representations for domain adaptation
S. Ben-David, J. Blitzer, K. Crammer, and F. Pereira · 2007
Later among the works it cites.
Large-margin classification in banach spaces
R. Der and D. Lee · 2007
Later among the works it cites.
A framework for probability density estimation
J. Shawe-Taylor and A. Dolia · 2007
Later among the works it cites.
A hilbert space embedding for distributions
A.J. Smola, A. Gretton, L. Song, and B. Schölkopf · 2007
Later among the works it cites.
Kernel measures of conditional dependence
K. Fukumizu, A. Gretton, X. Sun, and B. Schölkopf · 2008
Closest in time.
A kernel statistical test of independence
A. Gretton, K. Fukumizu, C. H. Teo, L. Song, B. Schölkopf, and A. Smola · 2008
Closest in time.
Testing for homogeneity with kernel fisher discriminant analysis
Z. Harchaoui, F. Bach, and E. Moulines · 2008
Closest in time.
Estimating divergence functionals and the likelihood ratio by penalized convex risk minimization
XuanLong Nguyen, Martin Wainwright, and Michael Jordan · 2008
Closest in time.
Inferring spike trains from local field potentials
M. Rasch, A. Gretton, Y. Murayama, W. Maass, and N. Logothetis · 2008
Closest in time.
Tailoring density estimation via reproducing kernel moment matching
L. Song, X. Zhang, A. Smola, A. Gretton, and B. Schölkopf · 2008
Closest in time.
Injective hilbert space embeddings of probability measures
B. Sriperumbudur, A. Gretton, K. Fukumizu, G. Lanckriet, and B. Schölkopf · 2008
Closest in time.
Kernel methods for measuring independence
A. Gretton, R. Herbrich, A. Smola, O. Bousquet, and B. Schölkopf · 2075
Closest in time.