Theoretical and Computational Guarantees of Mean Field Variational Inference for Community Detection

30 October 2017

Papers citing "Theoretical and Computational Guarantees of Mean Field Variational Inference for Community Detection"

10 / 10 papers shown

Title
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models Yucheng Liu Xiaodong Li 46 0 0 08 Jun 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space Yiheng Jiang Sinho Chewi Aram-Alexandre Pooladian 32 7 0 05 Dec 2023
Particle Mean Field Variational Bayes Minh-Ngoc Tran Paco Tseng Robert Kohn 32 3 0 24 Mar 2023
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 40 165 0 15 Dec 2020
Spike and slab variational Bayes for high dimensional logistic regression Kolyan Ray Botond Szabó Gabriel Clara 40 28 0 22 Oct 2020
Dynamics of coordinate ascent variational inference: A case study in 2D Ising models Sean Plummer D. Pati A. Bhattacharya 38 18 0 13 Jul 2020
Edgeworth expansions for network moments Yuan Zhang Dong Xia 32 25 0 14 Apr 2020
Latent heterogeneous multilayer community detection Hafiz Tiomoko Ali Sijia Liu Yasin Yılmaz Romain Couillet I. Rajapakse Alfred Hero 20 16 0 16 Jun 2018
Frequentist Consistency of Variational Bayes Yixin Wang David M. Blei BDL 28 204 0 09 May 2017
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels Peter J. Bickel David S. Choi Xiangyu Chang Hai Zhang 71 220 0 04 Jul 2012