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Learning Gaussian Tree Models: Analysis of Error Exponents and Extremal Structures
28 September 2009
Vincent Y. F. Tan
Anima Anandkumar
A. Willsky
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Papers citing
"Learning Gaussian Tree Models: Analysis of Error Exponents and Extremal Structures"
12 / 12 papers shown
Title
Optimal estimation of Gaussian (poly)trees
Yuhao Wang
Ming Gao
Wai Ming Tai
Bryon Aragam
Arnab Bhattacharyya
TPM
32
1
0
09 Feb 2024
Decentralized Learning of Tree-Structured Gaussian Graphical Models from Noisy Data
Akram Hussain
38
0
0
22 Sep 2021
Predictive Learning on Hidden Tree-Structured Ising Models
Konstantinos E. Nikolakakis
Dionysios S. Kalogerias
Anand D. Sarwate
25
12
0
11 Dec 2018
Non-submodular Function Maximization subject to a Matroid Constraint, with Applications
Khashayar Gatmiry
Manuel Gomez Rodriguez
32
7
0
19 Nov 2018
Learning of Tree-Structured Gaussian Graphical Models on Distributed Data under Communication Constraints
Mostafa Tavassolipour
S. Motahari
M. Manzuri-Shalmani
16
8
0
21 Sep 2018
Learning Graphs with Monotone Topology Properties and Multiple Connected Components
Eduardo Pavez
Hilmi E. Egilmez
Antonio Ortega
31
54
0
31 May 2017
Structure Learning in Graphical Modeling
Mathias Drton
Marloes H. Maathuis
CML
44
246
0
07 Jun 2016
Robust estimation of latent tree graphical models: Inferring hidden states with inexact parameters
Elchanan Mossel
S. Roch
Allan Sly
28
19
0
21 Sep 2011
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion
Anima Anandkumar
Vincent Y. F. Tan
A. Willsky
56
90
0
06 Jul 2011
Learning Latent Tree Graphical Models
M. Choi
Vincent Y. F. Tan
Anima Anandkumar
A. Willsky
56
262
0
14 Sep 2010
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates
Vincent Y. F. Tan
Anima Anandkumar
A. Willsky
67
49
0
05 May 2010
A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures
Vincent Y. F. Tan
Anima Anandkumar
L. Tong
A. Willsky
76
68
0
07 May 2009
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