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Asymptotic normality of maximum likelihood and its variational
  approximation for stochastic blockmodels

Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels

4 July 2012
Peter J. Bickel
David S. Choi
Xiangyu Chang
Hai Zhang
ArXivPDFHTML

Papers citing "Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels"

49 / 99 papers shown
Title
Consistency of the maximum likelihood and variational estimators in a
  dynamic stochastic block model
Consistency of the maximum likelihood and variational estimators in a dynamic stochastic block model
L. Longepierre
C. Matias
6
5
0
11 Mar 2019
Approximation Properties of Variational Bayes for Vector Autoregressions
Approximation Properties of Variational Bayes for Vector Autoregressions
Reza Hajargasht
BDL
16
1
0
02 Mar 2019
Maximum Likelihood Estimation of Sparse Networks with Missing
  Observations
Maximum Likelihood Estimation of Sparse Networks with Missing Observations
Solenne Gaucher
Olga Klopp
43
13
0
27 Feb 2019
Exploiting locality in high-dimensional factorial hidden Markov models
Exploiting locality in high-dimensional factorial hidden Markov models
Lorenzo Rimella
N. Whiteley
16
6
0
05 Feb 2019
Maximum Likelihood Estimation and Graph Matching in Errorfully Observed
  Networks
Maximum Likelihood Estimation and Graph Matching in Errorfully Observed Networks
Jesús Arroyo
D. Sussman
Carey E. Priebe
V. Lyzinski
17
9
0
26 Dec 2018
Mixing Time of Metropolis-Hastings for Bayesian Community Detection
Mixing Time of Metropolis-Hastings for Bayesian Community Detection
Bumeng Zhuo
Chao Gao
37
5
0
06 Nov 2018
Nonparametric identification in the dynamic stochastic block model
Nonparametric identification in the dynamic stochastic block model
A. Becker
H. Holzmann
11
2
0
02 Nov 2018
Hierarchical community detection by recursive partitioning
Hierarchical community detection by recursive partitioning
Tianxi Li
Lihua Lei
Sharmodeep Bhattacharyya
Koen Van den Berge
Purnamrita Sarkar
Peter J. Bickel
Elizaveta Levina
13
78
0
02 Oct 2018
A Survey on Theoretical Advances of Community Detection in Networks
A Survey on Theoretical Advances of Community Detection in Networks
Yunpeng Zhao
8
42
0
26 Aug 2018
Pairwise Covariates-adjusted Block Model for Community Detection
Pairwise Covariates-adjusted Block Model for Community Detection
Sihan Huang
Jiajin Sun
Yang Feng
17
24
0
10 Jul 2018
Strong consistency of Krichevsky-Trofimov estimator for the number of
  communities in the Stochastic Block Model
Strong consistency of Krichevsky-Trofimov estimator for the number of communities in the Stochastic Block Model
Andressa Cerqueira
Florencia Leonardi
11
6
0
10 Apr 2018
Optimal Bipartite Network Clustering
Optimal Bipartite Network Clustering
Zhixin Zhou
Arash A. Amini
17
27
0
15 Mar 2018
Vertex nomination: The canonical sampling and the extended spectral
  nomination schemes
Vertex nomination: The canonical sampling and the extended spectral nomination schemes
J. Yoder
Li-Wei Chen
H. Pao
Eric W. Bridgeford
Keith D. Levin
D. E. Fishkind
Carey Priebe
V. Lyzinski
30
18
0
14 Feb 2018
An Instability in Variational Inference for Topic Models
An Instability in Variational Inference for Topic Models
Behrooz Ghorbani
H. Javadi
Andrea Montanari
8
31
0
02 Feb 2018
Convergence Rates of Variational Posterior Distributions
Convergence Rates of Variational Posterior Distributions
Fengshuo Zhang
Chao Gao
14
104
0
07 Dec 2017
On the use of bootstrap with variational inference: Theory,
  interpretation, and a two-sample test example
On the use of bootstrap with variational inference: Theory, interpretation, and a two-sample test example
Yen-Chi Chen
Y Samuel Wang
E. Erosheva
BDL
17
19
0
29 Nov 2017
The Block Point Process Model for Continuous-Time Event-Based Dynamic
  Networks
The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks
Ruthwik R. Junuthula
Maysam Haghdan
Kevin S. Xu
Vijay Devabhaktuni
21
30
0
29 Nov 2017
Theoretical and Computational Guarantees of Mean Field Variational
  Inference for Community Detection
Theoretical and Computational Guarantees of Mean Field Variational Inference for Community Detection
A. Zhang
Harrison H. Zhou
14
64
0
30 Oct 2017
Statistical inference on random dot product graphs: a survey
Statistical inference on random dot product graphs: a survey
A. Athreya
D. E. Fishkind
Keith D. Levin
V. Lyzinski
Youngser Park
Yichen Qin
D. Sussman
M. Tang
Joshua T. Vogelstein
Carey E. Priebe
22
247
0
16 Sep 2017
Two provably consistent divide and conquer clustering algorithms for
  large networks
Two provably consistent divide and conquer clustering algorithms for large networks
Soumendu Sundar Mukherjee
Purnamrita Sarkar
Peter J. Bickel
23
12
0
18 Aug 2017
Frequentist Consistency of Variational Bayes
Frequentist Consistency of Variational Bayes
Yixin Wang
David M. Blei
BDL
25
204
0
09 May 2017
Consistency and Asymptotic Normality of Latent Block Model Estimators
Consistency and Asymptotic Normality of Latent Block Model Estimators
V. Brault
Christine Keribin
M. Mariadassou
8
18
0
21 Apr 2017
Large-scale estimation of random graph models with local dependence
Large-scale estimation of random graph models with local dependence
Sergii Babkin
Jonathan Stewart
Xiaochen Long
M. Schweinberger
19
2
0
27 Mar 2017
Uniform estimation in stochastic block models is slow
Uniform estimation in stochastic block models is slow
I. Castillo
Peter Orbanz
14
1
0
09 Mar 2017
Consistent structure estimation of exponential-family random graph
  models with block structure
Consistent structure estimation of exponential-family random graph models with block structure
M. Schweinberger
49
15
0
24 Feb 2017
Monte Carlo goodness-of-fit tests for degree corrected and related
  stochastic blockmodels
Monte Carlo goodness-of-fit tests for degree corrected and related stochastic blockmodels
Vishesh Karwa
D. Pati
Sonja Petrović
Liam Solus
N. Alexeev
Mateja Raivc
Dane Wilburne
Robert Williams
Bowei Yan
24
9
0
19 Dec 2016
Network cross-validation by edge sampling
Network cross-validation by edge sampling
Tianxi Li
Elizaveta Levina
Ji Zhu
13
158
0
14 Dec 2016
Corrected Bayesian information criterion for stochastic block models
Corrected Bayesian information criterion for stochastic block models
Jian-bo Hu
H. Qin
T. Yan
Yunpeng Zhao
19
6
0
04 Nov 2016
Community detection with nodal information
Community detection with nodal information
Haolei Weng
Yang Feng
11
30
0
31 Oct 2016
On clustering network-valued data
On clustering network-valued data
Soumendu Sundar Mukherjee
Purnamrita Sarkar
Lizhen Lin
19
42
0
08 Jun 2016
Variational Inference: A Review for Statisticians
Variational Inference: A Review for Statisticians
David M. Blei
A. Kucukelbir
Jon D. McAuliffe
BDL
29
4,705
0
04 Jan 2016
Maximum Likelihood Latent Space Embedding of Logistic Random Dot Product
  Graphs
Maximum Likelihood Latent Space Embedding of Logistic Random Dot Product Graphs
Luke O'Connor
Muriel Médard
S. Feizi
BDL
28
2
0
03 Oct 2015
Spectral Clustering and Block Models: A Review And A New Algorithm
Spectral Clustering and Block Models: A Review And A New Algorithm
Sharmodeep Bhattacharyya
Peter J. Bickel
22
8
0
07 Aug 2015
Minimax Rates of Community Detection in Stochastic Block Models
Minimax Rates of Community Detection in Stochastic Block Models
A. Zhang
Harrison H. Zhou
32
185
0
19 Jul 2015
Community detection in multi-relational data with restricted multi-layer
  stochastic blockmodel
Community detection in multi-relational data with restricted multi-layer stochastic blockmodel
Subhadeep Paul
Yuguo Chen
33
94
0
08 Jun 2015
Optimal Bayesian estimation in stochastic block models
Optimal Bayesian estimation in stochastic block models
D. Pati
A. Bhattacharya
30
7
0
26 May 2015
Likelihood-based model selection for stochastic block models
Likelihood-based model selection for stochastic block models
Y. X. R. Wang
Peter J. Bickel
30
179
0
06 Feb 2015
Community detection in sparse networks via Grothendieck's inequality
Community detection in sparse networks via Grothendieck's inequality
O. Guédon
Roman Vershynin
27
210
0
17 Nov 2014
A Generic Sample Splitting Approach for Refined Community Recovery in
  Stochastic Block Models
A Generic Sample Splitting Approach for Refined Community Recovery in Stochastic Block Models
Jing Lei
Lingxue Zhu
43
18
0
06 Nov 2014
Consistent estimation of dynamic and multi-layer block models
Consistent estimation of dynamic and multi-layer block models
Qiuyi Han
Kevin S. Xu
E. Airoldi
38
9
0
31 Oct 2014
Rate-optimal graphon estimation
Rate-optimal graphon estimation
Chao Gao
Yu Lu
Harrison H. Zhou
24
216
0
21 Oct 2014
On semidefinite relaxations for the block model
On semidefinite relaxations for the block model
Arash A. Amini
Elizaveta Levina
41
164
0
21 Jun 2014
Empirical Bayes Estimation for the Stochastic Blockmodel
Empirical Bayes Estimation for the Stochastic Blockmodel
Shakira Suwan
Dominic S. Lee
Runze Tang
D. Sussman
M. Tang
Carey E. Priebe
40
22
0
23 May 2014
Robust and computationally feasible community detection in the presence
  of arbitrary outlier nodes
Robust and computationally feasible community detection in the presence of arbitrary outlier nodes
T. Tony Cai
Xiaodong Li
53
139
0
23 Apr 2014
Community Detection in Networks using Graph Distance
Community Detection in Networks using Graph Distance
Sharmodeep Bhattacharyya
Peter J. Bickel
GNN
41
33
0
16 Jan 2014
The blessing of transitivity in sparse and stochastic networks
The blessing of transitivity in sparse and stochastic networks
Karl Rohe
Tai Qin
58
16
0
08 Jul 2013
Testing goodness-of-fit of random graph models
Testing goodness-of-fit of random graph models
V. Csiszár
Péter Hussami
J. Komlos
T. F. Móri
L. Rejtõ
G. Tusnády
63
6
0
11 Nov 2012
Pseudo-likelihood methods for community detection in large sparse
  networks
Pseudo-likelihood methods for community detection in large sparse networks
Arash A. Amini
Aiyou Chen
Peter J. Bickel
Elizaveta Levina
51
402
0
10 Jul 2012
The Highest Dimensional Stochastic Blockmodel with a Regularized
  Estimator
The Highest Dimensional Stochastic Blockmodel with a Regularized Estimator
Karl Rohe
Tai Qin
Haoyang Fan
66
18
0
11 Jun 2012
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