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1207.0865
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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
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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
L. Longepierre
C. Matias
6
5
0
11 Mar 2019
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
Solenne Gaucher
Olga Klopp
43
13
0
27 Feb 2019
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
Jesús Arroyo
D. Sussman
Carey E. Priebe
V. Lyzinski
17
9
0
26 Dec 2018
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
A. Becker
H. Holzmann
11
2
0
02 Nov 2018
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
Yunpeng Zhao
8
42
0
26 Aug 2018
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
Andressa Cerqueira
Florencia Leonardi
11
6
0
10 Apr 2018
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
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
Behrooz Ghorbani
H. Javadi
Andrea Montanari
8
31
0
02 Feb 2018
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
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
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
A. Zhang
Harrison H. Zhou
14
64
0
30 Oct 2017
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
Soumendu Sundar Mukherjee
Purnamrita Sarkar
Peter J. Bickel
23
12
0
18 Aug 2017
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
V. Brault
Christine Keribin
M. Mariadassou
8
18
0
21 Apr 2017
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
I. Castillo
Peter Orbanz
14
1
0
09 Mar 2017
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
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
Tianxi Li
Elizaveta Levina
Ji Zhu
13
158
0
14 Dec 2016
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
Haolei Weng
Yang Feng
11
30
0
31 Oct 2016
On clustering network-valued data
Soumendu Sundar Mukherjee
Purnamrita Sarkar
Lizhen Lin
19
42
0
08 Jun 2016
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
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
Sharmodeep Bhattacharyya
Peter J. Bickel
22
8
0
07 Aug 2015
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
Subhadeep Paul
Yuguo Chen
33
94
0
08 Jun 2015
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
Y. X. R. Wang
Peter J. Bickel
30
179
0
06 Feb 2015
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
Jing Lei
Lingxue Zhu
43
18
0
06 Nov 2014
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
Chao Gao
Yu Lu
Harrison H. Zhou
24
216
0
21 Oct 2014
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
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
T. Tony Cai
Xiaodong Li
53
139
0
23 Apr 2014
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
Karl Rohe
Tai Qin
58
16
0
08 Jul 2013
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
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
Karl Rohe
Tai Qin
Haoyang Fan
66
18
0
11 Jun 2012
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