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Finite Sample Guarantees for PCA in Non-Isotropic and Data-Dependent
  Noise

Finite Sample Guarantees for PCA in Non-Isotropic and Data-Dependent Noise

19 September 2017
Namrata Vaswani
Praneeth Narayanamurthy
ArXiv (abs)PDFHTML

Papers citing "Finite Sample Guarantees for PCA in Non-Isotropic and Data-Dependent Noise"

14 / 14 papers shown
Title
Fast Robust Subspace Tracking via PCA in Sparse Data-Dependent Noise
Fast Robust Subspace Tracking via PCA in Sparse Data-Dependent Noise
Praneeth Narayanamurthy
Namrata Vaswani
72
10
0
14 Jun 2020
Towards a Theoretical Analysis of PCA for Heteroscedastic Data
Towards a Theoretical Analysis of PCA for Heteroscedastic Data
David Hong
Laura Balzano
Jeffrey A. Fessler
40
16
0
12 Oct 2016
Correlated-PCA: Principal Components' Analysis when Data and Noise are
  Correlated
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated
Namrata Vaswani
Han Guo
74
25
0
15 Aug 2016
Nearly-optimal Robust Matrix Completion
Nearly-optimal Robust Matrix Completion
Yeshwanth Cherapanamjeri
Kartik Gupta
Prateek Jain
69
100
0
23 Jun 2016
Fast Algorithms for Robust PCA via Gradient Descent
Fast Algorithms for Robust PCA via Gradient Descent
Xinyang Yi
Dohyung Park
Yudong Chen
Constantine Caramanis
99
267
0
25 May 2016
Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample
  Guarantees for Oja's Algorithm
Streaming PCA: Matching Matrix Bernstein and Near-Optimal Finite Sample Guarantees for Oja's Algorithm
Prateek Jain
Chi Jin
Sham Kakade
Praneeth Netrapalli
Aaron Sidford
71
129
0
22 Feb 2016
Non-convex Robust PCA
Non-convex Robust PCA
Praneeth Netrapalli
U. Niranjan
Sujay Sanghavi
Anima Anandkumar
Prateek Jain
102
286
0
28 Oct 2014
Multiple Output Regression with Latent Noise
Multiple Output Regression with Latent Noise
Jussi Gillberg
Pekka Marttinen
M. Pirinen
A. Kangas
P. Soininen
Mehreen Ali
A. Havulinna
M. Järvelin
M. Ala-Korpela
Samuel Kaski
33
15
0
27 Oct 2014
Memory Limited, Streaming PCA
Memory Limited, Streaming PCA
Ioannis Mitliagkas
Constantine Caramanis
Prateek Jain
95
165
0
28 Jun 2013
Phase Retrieval using Alternating Minimization
Phase Retrieval using Alternating Minimization
Praneeth Netrapalli
Prateek Jain
Sujay Sanghavi
221
633
0
02 Jun 2013
Low-rank Matrix Completion using Alternating Minimization
Low-rank Matrix Completion using Alternating Minimization
Prateek Jain
Praneeth Netrapalli
Sujay Sanghavi
224
1,066
0
03 Dec 2012
Robust PCA via Outlier Pursuit
Robust PCA via Outlier Pursuit
Huan Xu
Constantine Caramanis
Sujay Sanghavi
104
768
0
20 Oct 2010
How close is the sample covariance matrix to the actual covariance
  matrix?
How close is the sample covariance matrix to the actual covariance matrix?
Roman Vershynin
126
289
0
20 Apr 2010
Finite sample approximation results for principal component analysis: a
  matrix perturbation approach
Finite sample approximation results for principal component analysis: a matrix perturbation approach
B. Nadler
111
328
0
21 Jan 2009
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