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  4. Cited By
Learning Gaussian Tree Models: Analysis of Error Exponents and Extremal
  Structures

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
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
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
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
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
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
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
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
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
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
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
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
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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