A useful variant of the Davis--Kahan theorem for statisticians

4 May 2014

Papers citing "A useful variant of the Davis--Kahan theorem for statisticians"

25 / 25 papers shown

Title
Weighted Random Dot Product Graphs Bernardo Marenco P. Bermolen Marcelo Fiori Federico Larroca Gonzalo Mateos 65 1 0 06 May 2025
Fitting networks with a cancellation trick Jiashun Jin Jingming Wang 81 0 0 23 Feb 2025
Private Low-Rank Approximation for Covariance Matrices, Dyson Brownian Motion, and Eigenvalue-Gap Bounds for Gaussian Perturbations Oren Mangoubi Nisheeth K. Vishnoi 77 2 0 11 Feb 2025
Achievable distributional robustness when the robust risk is only partially identified Julia Kostin Nicola Gnecco Fanny Yang 108 3 0 04 Feb 2025
Algorithms for ridge estimation with convergence guarantees Wanli Qiao W. Polonik 91 3 0 03 Jan 2025
Inductive Gradient Adjustment For Spectral Bias In Implicit Neural Representations Kexuan Shi Hai Chen Leheng Zhang Shuhang Gu 58 1 0 17 Oct 2024
Shuffled Linear Regression via Spectral Matching Hang Liu Anna Scaglione 62 0 0 30 Sep 2024
Manifold learning in Wasserstein space Keaton Hamm Caroline Moosmüller Bernhard Schmitzer Matthew Thorpe 67 5 0 14 Nov 2023
When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations David Liu Jackie Baek Tina Eliassi-Rad 51 0 0 15 Oct 2023
Nonlinear Meta-Learning Can Guarantee Faster Rates Dimitri Meunier Zhu Li Arthur Gretton Samory Kpotufe 60 6 0 20 Jul 2023
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems Dan Garber Atara Kaplan 40 0 0 23 Jun 2022
Polynomial-time Tensor Decompositions with Sum-of-Squares Tengyu Ma Jonathan Shi David Steurer 148 120 0 06 Oct 2016
Multivariate Analysis of Nonparametric Estimates of Large Correlation Matrices Ritwik Mitra Cun-Hui Zhang 76 28 0 24 Mar 2014
Community Detection in Networks using Graph Distance Sharmodeep Bhattacharyya Peter J. Bickel GNN 57 33 0 16 Jan 2014
Calibrated Elastic Regularization in Matrix Completion Tingni Sun Cun-Hui Zhang 54 24 0 09 Nov 2012
Sparse PCA: Optimal rates and adaptive estimation Tommaso Cai Zongming Ma Yihong Wu 81 326 0 06 Nov 2012
Tensor decompositions for learning latent variable models Anima Anandkumar Rong Ge Daniel J. Hsu Sham Kakade Matus Telgarsky 253 1,142 0 29 Oct 2012
Pseudo-likelihood methods for community detection in large sparse networks Arash A. Amini Aiyou Chen Peter J. Bickel Elizaveta Levina 136 404 0 10 Jul 2012
Large Covariance Estimation by Thresholding Principal Orthogonal Complements Jianqing Fan Yuan Liao Martina Mincheva 87 854 0 30 Dec 2011
Optimal rates of convergence for covariance matrix estimation Tommaso Cai Cun-Hui Zhang Harrison H. Zhou 93 474 0 19 Oct 2010
Reconstruction of a Low-rank Matrix in the Presence of Gaussian Noise A. Shabalin A. Nobel 99 161 0 23 Jul 2010
Spectral clustering and the high-dimensional stochastic blockmodel Karl Rohe S. Chatterjee Bin Yu 176 931 0 09 Jul 2010
Sparse Principal Components Analysis Iain M. Johnstone A. Lu 84 212 0 28 Jan 2009
Operator norm consistent estimation of large-dimensional sparse covariance matrices N. Karoui 130 397 0 21 Jan 2009
A Tutorial on Spectral Clustering U. V. Luxburg 179 10,497 0 01 Nov 2007