Principal Component Analysis with Contaminated Data: The High Dimensional Case

24 February 2010

Papers citing "Principal Component Analysis with Contaminated Data: The High Dimensional Case"

13 / 13 papers shown

Title
On the Convergence of the ELBO to Entropy Sums Jörg Lücke Jan Warnken 44 3 0 07 Sep 2022
Closed-Form, Provable, and Robust PCA via Leverage Statistics and Innovation Search M. Rahmani Ping Li 24 4 0 23 Jun 2021
Modal Principal Component Analysis Keishi Sando H. Hino 29 16 0 07 Aug 2020
Efficient Statistics, in High Dimensions, from Truncated Samples C. Daskalakis Themis Gouleakis Christos Tzamos Manolis Zampetakis 44 47 0 11 Sep 2018
Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers Jacob Steinhardt Moses Charikar Gregory Valiant 39 138 0 15 Mar 2017
Learning from Untrusted Data Moses Charikar Jacob Steinhardt Gregory Valiant FedML OOD 38 292 0 07 Nov 2016
Coherence Pursuit: Fast, Simple, and Robust Principal Component Analysis M. Rahmani George Atia 35 134 0 15 Sep 2016
Fast, Robust and Non-convex Subspace Recovery Gilad Lerman Tyler Maunu 41 77 0 24 Jun 2014
Robust PCA in High-dimension: A Deterministic Approach Jiashi Feng Huan Xu Shuicheng Yan 43 43 0 18 Jun 2012
Robust subspace recovery by Tyler's M-estimator Teng Zhang 62 28 0 07 Jun 2012
Learning a Factor Model via Regularized PCA Yi-Hao Kao Benjamin Van Roy 61 18 0 26 Nov 2011
Two Proposals for Robust PCA using Semidefinite Programming Michael B. McCoy J. Tropp 59 162 0 06 Dec 2010
Robustness and Generalization Huan Xu Shie Mannor OOD 100 457 0 13 May 2010