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1501.03796
Cited By
The Fast Convergence of Incremental PCA
15 January 2015
Akshay Balsubramani
S. Dasgupta
Y. Freund
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Papers citing
"The Fast Convergence of Incremental PCA"
22 / 22 papers shown
Title
Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation
Alex Saad-Falcon
Brighton Ancelin
Justin Romberg
22
0
0
16 May 2025
Fast Detection of Burst Jamming for Delay-Sensitive Internet-of-Things Applications
Shao-Di Wang
Hui-Ming Wang
Peng Liu
13
1
0
02 Dec 2022
AgFlow: Fast Model Selection of Penalized PCA via Implicit Regularization Effects of Gradient Flow
Haiyan Jiang
Haoyi Xiong
Dongrui Wu
Ji Liu
Dejing Dou
18
1
0
07 Oct 2021
FAST-PCA: A Fast and Exact Algorithm for Distributed Principal Component Analysis
Arpita Gang
W. Bajwa
60
17
0
27 Aug 2021
Batch Stationary Distribution Estimation
Junfeng Wen
Bo Dai
Lihong Li
Dale Schuurmans
OffRL
22
22
0
02 Mar 2020
An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint
Ehsan Amid
Manfred K. Warmuth
23
11
0
11 Sep 2019
Diffusion Approximations for Online Principal Component Estimation and Global Convergence
C. J. Li
Mengdi Wang
Han Liu
Tong Zhang
34
12
0
29 Aug 2018
Streaming PCA and Subspace Tracking: The Missing Data Case
Laura Balzano
Yuejie Chi
Yue M. Lu
13
84
0
12 Jun 2018
History PCA: A New Algorithm for Streaming PCA
Puyudi Yang
Cho-Jui Hsieh
Jane-ling Wang
AI4TS
23
23
0
15 Feb 2018
Accelerated Stochastic Power Iteration
Christopher De Sa
Bryan D. He
Ioannis Mitliagkas
Christopher Ré
Peng Xu
40
89
0
10 Jul 2017
Convergence rate of stochastic k-means
Cheng Tang
C. Monteleoni
29
26
0
16 Oct 2016
Correlated-PCA: Principal Components' Analysis when Data and Noise are Correlated
Namrata Vaswani
Han Guo
28
25
0
15 Aug 2016
Efficient Estimation of Partially Linear Models for Spatial Data over Complex Domain
Elad Hazan
Chi Jin
Cameron Musco
Praneeth Netrapalli
17
78
0
27 May 2016
An Improved Gap-Dependency Analysis of the Noisy Power Method
Maria-Florina Balcan
S. Du
Yining Wang
Adams Wei Yu
32
72
0
23 Feb 2016
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
31
128
0
22 Feb 2016
Large-Scale Approximate Kernel Canonical Correlation Analysis
Weiran Wang
Karen Livescu
35
54
0
15 Nov 2015
Online Principal Component Analysis in High Dimension: Which Algorithm to Choose?
H. Cardot
D. Degras
11
103
0
11 Nov 2015
Robust Shift-and-Invert Preconditioning: Faster and More Sample Efficient Algorithms for Eigenvector Computation
Chi Jin
Sham Kakade
Cameron Musco
Praneeth Netrapalli
Aaron Sidford
24
42
0
29 Oct 2015
Convergence of Stochastic Gradient Descent for PCA
Ohad Shamir
25
85
0
30 Sep 2015
Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis
Zhuang Ma
Y. Lu
Dean Phillips Foster
43
83
0
26 Jun 2015
Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation
Ohad Shamir
66
108
0
14 Nov 2013
The Noisy Power Method: A Meta Algorithm with Applications
Moritz Hardt
Eric Price
41
203
0
11 Nov 2013
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