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

4 July 2012

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

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Title
Limit Results for Estimation of Connectivity Matrix in Multi-layer Stochastic Block Models Wenqing Su Xiao Guo Ying Yang 47 0 0 17 Jun 2024
Global Tests for Smoothed Functions in Mean Field Variational Additive Models Mark J. Meyer Junyi Wei 19 0 0 12 Jun 2024
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models Yucheng Liu Xiaodong Li 46 0 0 08 Jun 2024
On inference for modularity statistics in structured networks Anirban Mitra Konasale Prasad Joshua Cape 24 0 0 23 Feb 2024
Bayesian Model Selection via Mean-Field Variational Approximation Yangfan Zhang Yun Yang 17 4 0 17 Dec 2023
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression S. Mukherjee Bodhisattva Sen Subhabrata Sen 32 4 0 28 Sep 2023
Semiparametric Modeling and Analysis for Longitudinal Network Data Yinqiu He Jiajin Sun Yuang Tian Z. Ying Yang Feng 37 1 0 23 Aug 2023
Efficient preconditioned stochastic gradient descent for estimation in latent variable models C. Baey Maud Delattre E. Kuhn Jean-Benoist Léger Sarah Lemler 21 4 0 22 Jun 2023
On the Convergence of Coordinate Ascent Variational Inference A. Bhattacharya D. Pati Yun Yang 17 10 0 01 Jun 2023
An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and Inference Joshua Agterberg Joshua Cape 42 1 0 10 May 2023
Mixture of segmentation for heterogeneous functional data V. Brault Émilie Devijver Charlotte Laclau 11 1 0 19 Mar 2023
Variational Inference: Posterior Threshold Improves Network Clustering Accuracy in Sparse Regimes Xuezhen Li Can M. Le 11 0 0 12 Jan 2023
Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection Kush S. Bhatia Nikki Lijing Kuang Yi Ma Yixin Wang 19 6 0 22 Jul 2022
Variational Estimators of the Degree-corrected Latent Block Model for Bipartite Networks Yunpeng Zhao Ning Hao Ji Zhu 22 1 0 16 Jun 2022
Sparse Subspace Clustering in Diverse Multiplex Network Model M. Noroozi Marianna Pensky 35 8 0 15 Jun 2022
Model Selection in Variational Mixed Effects Models M. Meyer Selina Carter E. Malloy 11 0 0 08 Jun 2022
Perfect Spectral Clustering with Discrete Covariates J. Hehir Xiaoyue Niu Aleksandra B. Slavkovic 20 0 0 17 May 2022
Estimation and inference for stochastic blockmodels Koen Jochmans 16 0 0 27 Jan 2022
Optimality of variational inference for stochastic block model with missing links Solenne Gaucher Olga Klopp 26 2 0 05 Nov 2021
Local convexity of the TAP free energy and AMP convergence for Z2-synchronization Michael Celentano Z. Fan Song Mei FedML 19 22 0 21 Jun 2021
Statistical embedding: Beyond principal components D. Tjøstheim Martin Jullum Anders Løland 20 2 0 03 Jun 2021
Matrix factorisation and the interpretation of geodesic distance N. Whiteley Annie Gray Patrick Rubin-Delanchy 29 9 0 02 Jun 2021
A Structural Model of Business Card Exchange Networks Juan Nelson Martínez Dahbura S. Komatsu Takanori Nishida A. Mele 6 6 0 26 May 2021
Variational Inference in high-dimensional linear regression S. Mukherjee S. Sen BDL 6 23 0 25 Apr 2021
Community Detection in Weighted Multilayer Networks with Ambient Noise Mark He Dylan Lu Jason Xu R. Xavier 8 0 0 24 Feb 2021
Bayesian inference in high-dimensional models Sayantan Banerjee I. Castillo S. Ghosal 54 22 0 12 Jan 2021
Adjusted chi-square test for degree-corrected block models Linfan Zhang Arash A. Amini 21 5 0 30 Dec 2020
Latent space models for multiplex networks with shared structure Peter Macdonald Elizaveta Levina Ji Zhu 25 31 0 28 Dec 2020
Spectral clustering via adaptive layer aggregation for multi-layer networks Sihan Huang Haolei Weng Yang Feng 25 21 0 07 Dec 2020
Fast Network Community Detection with Profile-Pseudo Likelihood Methods Jiangzhou Wang Jingfei Zhang Binghui Liu Ji Zhu Jianhua Guo 24 25 0 01 Nov 2020
Combinatorial-Probabilistic Trade-Off: Community Properties Test in the Stochastic Block Models Shuting Shen Junwei Lu 6 0 0 28 Oct 2020
Gibbs sampler and coordinate ascent variational inference: a set-theoretical review Se Yoon Lee 12 32 0 03 Aug 2020
Tractably Modelling Dependence in Networks Beyond Exchangeability Weichi Wu S. Olhede P. Wolfe 6 1 0 28 Jul 2020
Extended Stochastic Block Models with Application to Criminal Networks Sirio Legramanti T. Rigon Daniele Durante David B. Dunson 35 21 0 16 Jul 2020
Scalable Monte Carlo Inference and Rescaled Local Asymptotic Normality Ning Ning E. Ionides Yaácov Ritov 6 9 0 01 Jul 2020
Estimation of dense stochastic block models visited by random walks V. Tran Thi Thuy Anh Vo 11 0 0 14 Jun 2020
The role of exchangeability in causal inference O. Saarela D. Stephens E. Moodie 34 5 0 02 Jun 2020
Graph matching between bipartite and unipartite networks: to collapse, or not to collapse, that is the question Jesús Arroyo Carey E. Priebe V. Lyzinski 11 2 0 05 Feb 2020
Statistical Inference in Mean-Field Variational Bayes Wei Han Yun Yang 20 17 0 04 Nov 2019
The Buckley-Osthus model and the block preferential attachment model: statistical analysis and application Xin Guo Fengmin Tang Wenpin Tang 19 0 0 17 Oct 2019
Spectral inference for large Stochastic Blockmodels with nodal covariates A. Mele Lingxin Hao Joshua Cape Carey E. Priebe 4 20 0 18 Aug 2019
A Theoretical Case Study of Structured Variational Inference for Community Detection Mingzhang Yin Y. X. R. Wang Purnamrita Sarkar 11 8 0 29 Jul 2019
Bootstrapping Networks with Latent Space Structure Keith D. Levin Elizaveta Levina 11 30 0 25 Jul 2019
Graph inference with clustering and false discovery rate control Tabea Rebafka Étienne Roquain Fanny Villers 26 6 0 23 Jul 2019
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model P. Barbillon J. Chiquet Timothée Tabouy 16 2 0 28 Jun 2019
Vertex Classification on Weighted Networks Hayden Helm Joshua T. Vogelstein Carey Priebe 11 0 0 07 Jun 2019
Variational Bayes under Model Misspecification Yixin Wang David M. Blei 6 44 0 26 May 2019
When random initializations help: a study of variational inference for community detection Purnamrita Sarkar Y. X. R. Wang Soumendu Sundar Mukherjee BDL 26 6 0 16 May 2019
Vertex Nomination, Consistent Estimation, and Adversarial Modification Joshua Agterberg Youngser Park Jonathan Larson Christopher M. White Carey E. Priebe V. Lyzinski 37 16 0 06 May 2019
Consistency and Asymptotic Normality of Stochastic Block Models Estimators from Sampled Data M. Mariadassou Timothée Tabouy 18 8 0 28 Mar 2019