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Spectral Methods for Learning Multivariate Latent Tree Structure

Spectral Methods for Learning Multivariate Latent Tree Structure

7 July 2011
Omer Tamuz
Ce Liu
Daniel J. Hsu
Ohad Shamir
Serge J. Belongie
Tong Zhang
ArXivPDFHTML

Papers citing "Spectral Methods for Learning Multivariate Latent Tree Structure"

10 / 10 papers shown
Title
Geometry of Similarity Comparisons
Geometry of Similarity Comparisons
Puoya Tabaghi
Jianhao Peng
O. Milenkovic
Ivan Dokmanić
45
5
0
17 Jun 2020
Learning Bayesian Network Structure from Massive Datasets: The "Sparse
  Candidate" Algorithm
Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm
N. Friedman
I. Nachman
Dana Peér
138
654
0
23 Jan 2013
Large-Sample Learning of Bayesian Networks is NP-Hard
Large-Sample Learning of Bayesian Networks is NP-Hard
D. M. Chickering
Christopher Meek
David Heckerman
BDL
100
792
0
19 Oct 2012
Dimension-free tail inequalities for sums of random matrices
Dimension-free tail inequalities for sums of random matrices
Daniel J. Hsu
Sham Kakade
Tong Zhang
62
23
0
09 Apr 2011
High-dimensional Ising model selection using ${\ell_1}$-regularized
  logistic regression
High-dimensional Ising model selection using ℓ1{\ell_1}ℓ1​-regularized logistic regression
Pradeep Ravikumar
Martin J. Wainwright
John D. Lafferty
205
957
0
02 Oct 2010
Learning Latent Tree Graphical Models
Learning Latent Tree Graphical Models
M. Choi
Vincent Y. F. Tan
Anima Anandkumar
A. Willsky
90
264
0
14 Sep 2010
Latent variable graphical model selection via convex optimization
Latent variable graphical model selection via convex optimization
V. Chandrasekaran
P. Parrilo
A. Willsky
CML
176
509
0
06 Aug 2010
Learning Mixtures of Gaussians using the k-means Algorithm
Learning Mixtures of Gaussians using the k-means Algorithm
Kamalika Chaudhuri
S. Dasgupta
Andrea Vattani
139
35
0
01 Dec 2009
Reduced-Rank Hidden Markov Models
Reduced-Rank Hidden Markov Models
S. Siddiqi
Byron Boots
Geoffrey J. Gordon
BDL
180
135
0
06 Oct 2009
Identifiability of parameters in latent structure models with many
  observed variables
Identifiability of parameters in latent structure models with many observed variables
E. Allman
C. Matias
J. Rhodes
CML
118
532
0
29 Sep 2008
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