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Statistical embedding: Beyond principal components

Statistical embedding: Beyond principal components

3 June 2021
D. Tjøstheim
Martin Jullum
Anders Løland
ArXivPDFHTML

Papers citing "Statistical embedding: Beyond principal components"

6 / 6 papers shown
Title
Algorithms for ridge estimation with convergence guarantees
Algorithms for ridge estimation with convergence guarantees
Wanli Qiao
W. Polonik
77
3
0
03 Jan 2025
Minimax Rates for Estimating the Dimension of a Manifold
Minimax Rates for Estimating the Dimension of a Manifold
Jisu Kim
Alessandro Rinaldo
Larry A. Wasserman
163
24
0
03 May 2016
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
269
31,267
0
16 Jan 2013
Nonparametric ridge estimation
Nonparametric ridge estimation
Christopher R. Genovese
M. Perone-Pacifico
I. Verdinelli
Larry A. Wasserman
82
120
0
20 Dec 2012
Statistical topological data analysis using persistence landscapes
Statistical topological data analysis using persistence landscapes
Peter Bubenik
112
846
0
27 Jul 2012
Asymptotic normality of maximum likelihood and its variational
  approximation for stochastic blockmodels
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels
Peter J. Bickel
David S. Choi
Xiangyu Chang
Hai Zhang
71
220
0
04 Jul 2012
1