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FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component
  Analysis
v1v2 (latest)

FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis

27 August 2021
Arpita Gang
W. Bajwa
ArXiv (abs)PDFHTML

Papers citing "FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis"

15 / 15 papers shown
Title
Distributed Principal Subspace Analysis for Partitioned Big Data:
  Algorithms, Analysis, and Implementation
Distributed Principal Subspace Analysis for Partitioned Big Data: Algorithms, Analysis, and Implementation
Arpita Gang
Bingqing Xiang
W. Bajwa
49
14
0
11 Mar 2021
Decentralized Riemannian Gradient Descent on the Stiefel Manifold
Decentralized Riemannian Gradient Descent on the Stiefel Manifold
Shixiang Chen
Alfredo García
Mingyi Hong
Shahin Shahrampour
73
45
0
14 Feb 2021
DeEPCA: Decentralized Exact PCA with Linear Convergence Rate
DeEPCA: Decentralized Exact PCA with Linear Convergence Rate
Haishan Ye
Tong Zhang
58
26
0
08 Feb 2021
A Linearly Convergent Algorithm for Distributed Principal Component
  Analysis
A Linearly Convergent Algorithm for Distributed Principal Component Analysis
Arpita Gang
W. Bajwa
75
24
0
05 Jan 2021
Online Distributed Estimation of Principal Eigenspaces
Online Distributed Estimation of Principal Eigenspaces
Davoud Ataee Tarzanagh
Mohamad Kazem Shirani Faradonbeh
George Michailidis
49
2
0
17 May 2019
Exponentially convergent stochastic k-PCA without variance reduction
Exponentially convergent stochastic k-PCA without variance reduction
Cheng Tang
80
28
0
03 Apr 2019
Distributed Differentially-Private Algorithms for Matrix and Tensor
  Factorization
Distributed Differentially-Private Algorithms for Matrix and Tensor Factorization
H. Imtiaz
Anand D. Sarwate
OOD
48
29
0
26 Apr 2018
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and
  Robust Subspace Recovery
Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery
Namrata Vaswani
T. Bouwmans
S. Javed
Praneeth Narayanamurthy
OOD
71
278
0
26 Nov 2017
NEXT: In-Network Nonconvex Optimization
NEXT: In-Network Nonconvex Optimization
P. Lorenzo
G. Scutari
103
509
0
01 Feb 2016
On the performance overhead tradeoff of distributed principal component
  analysis via data partitioning
On the performance overhead tradeoff of distributed principal component analysis via data partitioning
Ni An
S. Weber
36
3
0
16 Dec 2015
The Fast Convergence of Incremental PCA
The Fast Convergence of Incremental PCA
Akshay Balsubramani
S. Dasgupta
Y. Freund
81
143
0
15 Jan 2015
Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big,
  Distributed Data
Cloud K-SVD: A Collaborative Dictionary Learning Algorithm for Big, Distributed Data
Haroon Raja
W. Bajwa
68
92
0
25 Dec 2014
Stochastic Optimization of PCA with Capped MSG
Stochastic Optimization of PCA with Capped MSG
R. Arora
Andrew Cotter
Nathan Srebro
77
85
0
05 Jul 2013
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OODSSL
278
12,458
0
24 Jun 2012
Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for
  Non-Convex Optimization
Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for Non-Convex Optimization
Pascal Bianchi
J. Jakubowicz
119
257
0
13 Jul 2011
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