v1v2v3 (latest)

Estimating Mixed Memberships with Sharp Eigenvector Deviations

1 September 2017

Papers citing "Estimating Mixed Memberships with Sharp Eigenvector Deviations"

44 / 44 papers shown

Title
Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA Syamantak Kumar Shourya Pandey Purnamrita Sarkar 17 0 0 14 Jun 2025
Generalized Grade-of-Membership Estimation for High-dimensional Locally Dependent Data Ling Chen Chengzhu Huang Yuqi Gu 61 0 0 27 Dec 2024
On the Robustness of the Successive Projection Algorithm Giovanni Barbarino Nicolas Gillis 171 0 0 25 Nov 2024
Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures Subash Timilsina Sagar Shrestha Xiao Fu 77 1 0 28 Sep 2024
Entrywise error bounds for low-rank approximations of kernel matrices Alexander Modell 89 0 0 23 May 2024
Estimating mixed memberships in multi-layer networks Huan Qing 69 0 0 05 Apr 2024
Community detection by spectral methods in multi-layer networks Huan Qing 144 3 0 19 Mar 2024
WGoM: A novel model for categorical data with weighted responses Huan Qing 96 0 0 17 Oct 2023
An Overview of Asymptotic Normality in Stochastic Blockmodels: Cluster Analysis and Inference Joshua Agterberg Joshua Cape 76 1 0 10 May 2023
On Uniform Consistency of Spectral Embeddings Ruofei Zhao Songkai Xue Yuekai Sun 56 0 0 25 Apr 2023
Bipartite mixed membership distribution-free model. A novel model for community detection in overlapping bipartite weighted networks Huan Qing Jingli Wang 72 9 0 02 Nov 2022
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems Chen Ling Junji Jiang Junxiang Wang Liang Zhao DiffM 90 47 0 24 Jun 2022
Controllability of Coarsely Measured Networked Linear Dynamical Systems (Extended Version) Nafiseh Ghoroghchian A. Rajasekhar Gautam Dasarathy S. Draper 27 0 0 21 Jun 2022
Optimal Network Membership Estimation Under Severe Degree Heterogeneity Z. Ke Jingming Wang 32 7 0 26 Apr 2022
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms Joshua Agterberg Jeremias Sulam 62 0 0 08 Feb 2022
Mixed membership distribution-free model Huan Qing Jingli Wang 77 6 0 04 Dec 2021
Overlapping and nonoverlapping models Huan Qing 47 0 0 02 Nov 2021
A useful criterion on studying consistent estimation in community detection Huan Qing 64 8 0 30 Sep 2021
Community detection for weighted bipartite networks Huan Qing Jingli Wang 101 12 0 21 Sep 2021
Directed degree corrected mixed membership model and estimating community memberships in directed networks Huan Qing 75 3 0 16 Sep 2021
Assigning Topics to Documents by Successive Projections Olga Klopp Maxim Panov Suzanne Sigalla Alexandre B. Tsybakov 76 9 0 08 Jul 2021
Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence Joshua Agterberg Zachary Lubberts Carey Priebe 101 21 0 27 May 2021
Directed mixed membership stochastic blockmodel Huan Qing Jingli Wang 64 6 0 07 Jan 2021
Estimating Mixed-Memberships Using the Symmetric Laplacian Inverse Matrix Hu Qing Jingli Wang 47 0 0 17 Dec 2020
Spectral clustering via adaptive layer aggregation for multi-layer networks Sihan Huang Haolei Weng Yang Feng 84 22 0 07 Dec 2020
Mixed-SCORE+ for mixed membership community detection Hu Qing Jingli Wang 35 0 0 07 Dec 2020
Mixed Membership Graph Clustering via Systematic Edge Query Shahana Ibrahim Xiao Fu 51 4 0 25 Nov 2020
Consistency of regularized spectral clustering in degree-corrected mixed membership model Huan Qing Jingli Wang 35 0 0 23 Nov 2020
Overlapping community detection in networks via sparse spectral decomposition Jesús Arroyo Elizaveta Levina 100 4 0 20 Sep 2020
A Sharp Blockwise Tensor Perturbation Bound for Orthogonal Iteration Yuetian Luo Garvesh Raskutti M. Yuan Anru R. Zhang 81 12 0 06 Aug 2020
$An $\ell_p$ theory of PCA and spectral clustering$ An $\ell_p$ theory of PCA and spectral clustering Emmanuel Abbe Jianqing Fan Kaizheng Wang 57 5 0 24 Jun 2020
Consistency of Spectral Clustering on Hierarchical Stochastic Block Models Lihua Lei Xiaodong Li Xingmei Lou 46 19 0 30 Apr 2020
Provable Overlapping Community Detection in Weighted Graphs Jimit Majmudar S. Vavasis 24 4 0 15 Apr 2020
Vintage Factor Analysis with Varimax Performs Statistical Inference Karl Rohe Muzhe Zeng 114 54 0 11 Apr 2020
On Two Distinct Sources of Nonidentifiability in Latent Position Random Graph Models Joshua Agterberg M. Tang Carey E. Priebe CML 88 10 0 31 Mar 2020
A Unified Framework for Tuning Hyperparameters in Clustering Problems Xinjie Fan Yuguang Yue Purnamrita Sarkar Y. X. R. Wang 83 2 0 17 Oct 2019
Efficient Estimation for Random Dot Product Graphs via a One-step Procedure Fangzheng Xie Yanxun Xu 72 21 0 10 Oct 2019
$Subspace Estimation from Unbalanced and Incomplete Data Matrices: $\ell_{2,\infty}$ Statistical Guarantees$ Subspace Estimation from Unbalanced and Incomplete Data Matrices: $\ell_{2,\infty}$ Statistical Guarantees Changxiao Cai Gen Li Yuejie Chi H. Vincent Poor Yuxin Chen 102 13 0 09 Oct 2019
$Unified $\ell_{2\rightarrow\infty}$ Eigenspace Perturbation Theory for Symmetric Random Matrices$ Unified $\ell_{2\rightarrow\infty}$ Eigenspace Perturbation Theory for Symmetric Random Matrices Lihua Lei 66 9 0 11 Sep 2019
Improvements on SCORE, Especially for Weak Signals Jiashun Jin Z. Ke Shengming Luo 47 23 0 14 Nov 2018
Overlapping Clustering Models, and One (class) SVM to Bind Them All Xueyu Mao Purnamrita Sarkar Deepayan Chakrabarti 70 37 0 18 Jun 2018
Signal-plus-noise matrix models: eigenvector deviations and fluctuations Joshua Cape M. Tang Carey E. Priebe 107 50 0 01 Feb 2018
A statistical interpretation of spectral embedding: the generalised random dot product graph Patrick Rubin-Delanchy Joshua Cape M. Tang Carey E. Priebe 117 133 0 16 Sep 2017
The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statistics Joshua Cape M. Tang Carey E. Priebe 98 136 0 30 May 2017