Unperturbed: spectral analysis beyond Davis-Kahan

20 June 2017

Papers citing "Unperturbed: spectral analysis beyond Davis-Kahan"

30 / 30 papers shown

Title
On the Error-Propagation of Inexact Hotelling's Deflation for Principal Component Analysis Sorawit Saengkyongam Junhyung Lyle Kim Cruz Barnum Anastasios Kyrillidis 58 0 0 06 Oct 2023
Strong Consistency Guarantees for Clustering High-Dimensional Bipartite Graphs with the Spectral Method Guillaume Braun 87 2 0 14 Apr 2023
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA Yuchen Zhou Yuxin Chen 71 4 0 10 Mar 2023
Elliptic PDE learning is provably data-efficient N. Boullé Diana Halikias Alex Townsend 77 21 0 24 Feb 2023
Inference for Heteroskedastic PCA with Missing Data Yuling Yan Yuxin Chen Jianqing Fan 122 19 0 26 Jul 2021
Affine-Invariant Integrated Rank-Weighted Depth: Definition, Properties and Finite Sample Analysis Guillaume Staerman Pavlo Mozharovskyi Stephan Clémençon 180 10 0 21 Jun 2021
Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence Joshua Agterberg Zachary Lubberts Carey Priebe 99 21 0 27 May 2021
Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation Xiuyuan Cheng Nan Wu 122 29 0 25 Jan 2021
Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues Joshua Agterberg M. Tang Carey Priebe 62 15 0 17 Dec 2020
Spectral Methods for Data Science: A Statistical Perspective Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma 153 173 0 15 Dec 2020
Convergence of Graph Laplacian with kNN Self-tuned Kernels Xiuyuan Cheng Hau‐Tieng Wu 72 24 0 03 Nov 2020
A Performance Guarantee for Spectral Clustering M. Boedihardjo Shaofeng Deng Thomas Strohmer 46 7 0 10 Jul 2020
Scalable Spectral Clustering with Nystrom Approximation: Practical and Theoretical Aspects Farhad Pourkamali Anaraki 28 13 0 25 Jun 2020
Detection thresholds in very sparse matrix completion C. Bordenave Simon Coste R. Nadakuditi 91 25 0 12 May 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
Entrywise convergence of iterative methods for eigenproblems Vasileios Charisopoulos Austin R. Benson Anil Damle 78 2 0 19 Feb 2020
$Spectral Convergence of Graph Laplacian and Heat Kernel Reconstruction in $L^\infty$ from Random Samples$ Spectral Convergence of Graph Laplacian and Heat Kernel Reconstruction in $L^\infty$ from Random Samples David B. Dunson Hau‐Tieng Wu Nan Wu 82 65 0 11 Dec 2019
Subsampling Sparse Graphons Under Minimal Assumptions Robert Lunde Purnamrita Sarkar 59 21 0 29 Jul 2019
Ranking and synchronization from pairwise measurements via SVD Alexandre d’Aspremont Ning Zhang Hemant Tyagi 59 22 0 06 Jun 2019
Multi-Frequency Vector Diffusion Maps Yifeng Fan Zhizhen Zhao DiffM 60 13 0 06 Jun 2019
Representation Theoretic Patterns in Multi-Frequency Class Averaging for Three-Dimensional Cryo-Electron Microscopy Yifeng Fan Tingran Gao Zhizhen Zhao 49 9 0 31 May 2019
State Aggregation Learning from Markov Transition Data Shiqi Wang Yizheng Chen Ahmed Abdou 105 54 0 06 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 104 78 0 02 Oct 2018
Robust high dimensional factor models with applications to statistical machine learning Jianqing Fan Kaizheng Wang Yiqiao Zhong Ziwei Zhu 86 55 0 12 Aug 2018
Matrices with Gaussian noise: optimal estimates for singular subspace perturbation Sean O’Rourke Van Vu Ke Wang 72 7 0 02 Mar 2018
Signal-plus-noise matrix models: eigenvector deviations and fluctuations Joshua Cape M. Tang Carey E. Priebe 107 50 0 01 Feb 2018
Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank Emmanuel Abbe Jianqing Fan Kaizheng Wang Yiqiao Zhong 159 251 0 27 Sep 2017
Estimating Mixed Memberships with Sharp Eigenvector Deviations Xueyu Mao Purnamrita Sarkar Deepayan Chakrabarti 117 89 0 01 Sep 2017
The two-to-infinity norm and singular subspace geometry with applications to high-dimensional statistics Joshua Cape M. Tang Carey E. Priebe 81 136 0 30 May 2017
Network cross-validation by edge sampling Tianxi Li Elizaveta Levina Ji Zhu 108 166 0 14 Dec 2016