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High-dimensional structure estimation in Ising models: Local separation
  criterion
v1v2v3v4 (latest)

High-dimensional structure estimation in Ising models: Local separation criterion

8 July 2011
Anima Anandkumar
Vincent Y. F. Tan
Furong Huang
A. Willsky
ArXiv (abs)PDFHTML

Papers citing "High-dimensional structure estimation in Ising models: Local separation criterion"

31 / 31 papers shown
Title
Limit Theorems and Phase Transitions in the Tensor Curie-Weiss Potts
  Model
Limit Theorems and Phase Transitions in the Tensor Curie-Weiss Potts Model
Sanchayan Bhowal
Somabha Mukherjee
65
2
0
03 Jul 2023
Sharp Signal Detection Under Ferromagnetic Ising Models
Sharp Signal Detection Under Ferromagnetic Ising Models
Sohom Bhattacharya
Rajarshi Mukherjee
G. Ray
50
4
0
06 Oct 2021
On the Inductive Bias of Masked Language Modeling: From Statistical to
  Syntactic Dependencies
On the Inductive Bias of Masked Language Modeling: From Statistical to Syntactic Dependencies
Tianyi Zhang
Tatsunori Hashimoto
AI4CE
69
30
0
12 Apr 2021
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured
  Graphical Models with Noisy Samples
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples
Anshoo Tandon
Aldric H. J. Yuan
Vincent Y. F. Tan
36
9
0
22 Jan 2021
Estimation in Tensor Ising Models
Estimation in Tensor Ising Models
Somabha Mukherjee
Jaesung Son
B. Bhattacharya
77
12
0
29 Aug 2020
Parameter Estimation for Undirected Graphical Models with Hard
  Constraints
Parameter Estimation for Undirected Graphical Models with Hard Constraints
B. Bhattacharya
K. Ramanan
78
2
0
22 Aug 2020
Bayesian Model Selection for High-Dimensional Ising Models, With
  Applications to Educational Data
Bayesian Model Selection for High-Dimensional Ising Models, With Applications to Educational Data
Jaewoo Park
Ick Hoon Jin
M. Schweinberger
46
7
0
17 Nov 2019
An Introductory Guide to Fano's Inequality with Applications in
  Statistical Estimation
An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation
Jonathan Scarlett
Volkan Cevher
114
41
0
02 Jan 2019
Learning Restricted Boltzmann Machines via Influence Maximization
Learning Restricted Boltzmann Machines via Influence Maximization
Guy Bresler
Frederic Koehler
Ankur Moitra
Elchanan Mossel
AI4CE
70
29
0
25 May 2018
Lower Bounds for Two-Sample Structural Change Detection in Ising and
  Gaussian Models
Lower Bounds for Two-Sample Structural Change Detection in Ising and Gaussian Models
Aditya Gangrade
B. Nazer
Venkatesh Saligrama
66
6
0
28 Oct 2017
Property Testing in High Dimensional Ising models
Property Testing in High Dimensional Ising models
Matey Neykov
Han Liu
75
20
0
20 Sep 2017
Learning Graphical Models Using Multiplicative Weights
Learning Graphical Models Using Multiplicative Weights
Adam R. Klivans
Raghu Meka
87
113
0
20 Jun 2017
Information Theoretic Properties of Markov Random Fields, and their
  Algorithmic Applications
Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications
Linus Hamilton
Frederic Koehler
Ankur Moitra
73
64
0
31 May 2017
Mixing Times and Structural Inference for Bernoulli Autoregressive
  Processes
Mixing Times and Structural Inference for Bernoulli Autoregressive Processes
Dimitrios Katselis
Carolyn L. Beck
R. Srikant
48
15
0
19 Dec 2016
Square Hellinger Subadditivity for Bayesian Networks and its
  Applications to Identity Testing
Square Hellinger Subadditivity for Bayesian Networks and its Applications to Identity Testing
C. Daskalakis
Qinxuan Pan
53
48
0
09 Dec 2016
Lower Bounds on Active Learning for Graphical Model Selection
Lower Bounds on Active Learning for Graphical Model Selection
Jonathan Scarlett
Volkan Cevher
58
8
0
08 Jul 2016
Learning a Tree-Structured Ising Model in Order to Make Predictions
Learning a Tree-Structured Ising Model in Order to Make Predictions
Guy Bresler
Mina Karzand
104
46
0
22 Apr 2016
Active Learning Algorithms for Graphical Model Selection
Active Learning Algorithms for Graphical Model Selection
Gautam Dasarathy
Aarti Singh
Maria-Florina Balcan
Jonghyuk Park
163
25
0
01 Feb 2016
Information-theoretic limits of Bayesian network structure learning
Information-theoretic limits of Bayesian network structure learning
Asish Ghoshal
Jean Honorio
164
25
0
27 Jan 2016
Inference in Ising Models
Inference in Ising Models
B. Bhattacharya
Soumendu Sundar Mukherjee
83
58
0
25 Jul 2015
On Semiparametric Exponential Family Graphical Models
On Semiparametric Exponential Family Graphical Models
Zhuoran Yang
Y. Ning
Han Liu
103
32
0
30 Dec 2014
Structure learning of antiferromagnetic Ising models
Structure learning of antiferromagnetic Ising models
Guy Bresler
D. Gamarnik
Devavrat Shah
115
43
0
03 Dec 2014
Efficiently learning Ising models on arbitrary graphs
Efficiently learning Ising models on arbitrary graphs
Guy Bresler
111
204
0
22 Nov 2014
Computational Implications of Reducing Data to Sufficient Statistics
Computational Implications of Reducing Data to Sufficient Statistics
Andrea Montanari
95
38
0
12 Sep 2014
Active Learning for Undirected Graphical Model Selection
Active Learning for Undirected Graphical Model Selection
Divyanshu Vats
Robert D. Nowak
Richard G. Baraniuk
151
8
0
13 Apr 2014
High-dimensional Ising model selection with Bayesian information
  criteria
High-dimensional Ising model selection with Bayesian information criteria
Rina Foygel Barber
Mathias Drton
121
120
0
13 Mar 2014
Marginal Pseudo-Likelihood Learning of Markov Network structures
Marginal Pseudo-Likelihood Learning of Markov Network structures
J. Pensar
Henrik J. Nyman
Juha Niiranen
J. Corander
44
3
0
20 Jan 2014
A Junction Tree Framework for Undirected Graphical Model Selection
A Junction Tree Framework for Undirected Graphical Model Selection
Divyanshu Vats
Robert D. Nowak
CML
126
8
0
17 Apr 2013
Structure estimation for discrete graphical models: Generalized
  covariance matrices and their inverses
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses
Po-Ling Loh
Martin J. Wainwright
107
180
0
03 Dec 2012
Learning loopy graphical models with latent variables: Efficient methods
  and guarantees
Learning loopy graphical models with latent variables: Efficient methods and guarantees
Anima Anandkumar
R. Valluvan
193
50
0
17 Mar 2012
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
146
19
0
21 Sep 2011
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