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Near-Optimal Stochastic Approximation for Online Principal Component
  Estimation
v1v2v3v4 (latest)

Near-Optimal Stochastic Approximation for Online Principal Component Estimation

16 March 2016
C. J. Li
Mengdi Wang
Han Liu
Tong Zhang
ArXiv (abs)PDFHTML

Papers citing "Near-Optimal Stochastic Approximation for Online Principal Component Estimation"

18 / 18 papers shown
Title
Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation
Global Convergence of Adaptive Sensing for Principal Eigenvector Estimation
Alex Saad-Falcon
Brighton Ancelin
Justin Romberg
46
0
0
16 May 2025
Nonconvex Stochastic Scaled-Gradient Descent and Generalized Eigenvector
  Problems
Nonconvex Stochastic Scaled-Gradient Descent and Generalized Eigenvector Problems
C. J. Li
Michael I. Jordan
73
2
0
29 Dec 2021
Bootstrapping the error of Oja's algorithm
Bootstrapping the error of Oja's algorithm
Robert Lunde
Purnamrita Sarkar
Rachel A. Ward
100
11
0
28 Jun 2021
Stochastic Approximation for Online Tensorial Independent Component
  Analysis
Stochastic Approximation for Online Tensorial Independent Component Analysis
C. J. Li
Michael I. Jordan
66
2
0
28 Dec 2020
A General Framework for Analyzing Stochastic Dynamics in Learning
  Algorithms
A General Framework for Analyzing Stochastic Dynamics in Learning Algorithms
Chi-Ning Chou
Juspreet Singh Sandhu
Mien Brabeeba Wang
Tiancheng Yu
48
4
0
11 Jun 2020
ODE-Inspired Analysis for the Biological Version of Oja's Rule in
  Solving Streaming PCA
ODE-Inspired Analysis for the Biological Version of Oja's Rule in Solving Streaming PCA
Chi-Ning Chou
Mien Brabeeba Wang
68
8
0
04 Nov 2019
AdaOja: Adaptive Learning Rates for Streaming PCA
AdaOja: Adaptive Learning Rates for Streaming PCA
Amelia Henriksen
Rachel A. Ward
70
23
0
28 May 2019
Sharp Analysis for Nonconvex SGD Escaping from Saddle Points
Sharp Analysis for Nonconvex SGD Escaping from Saddle Points
Cong Fang
Zhouchen Lin
Tong Zhang
92
104
0
01 Feb 2019
A note on concentration inequality for vector-valued martingales with weak exponential-type tails
C. J. Li
71
3
0
06 Sep 2018
Online ICA: Understanding Global Dynamics of Nonconvex Optimization via
  Diffusion Processes
Online ICA: Understanding Global Dynamics of Nonconvex Optimization via Diffusion Processes
C. J. Li
Zhaoran Wang
Han Liu
DiffM
113
18
0
29 Aug 2018
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path
  Integrated Differential Estimator
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path Integrated Differential Estimator
Cong Fang
C. J. Li
Zhouchen Lin
Tong Zhang
133
580
0
04 Jul 2018
On Landscape of Lagrangian Functions and Stochastic Search for
  Constrained Nonconvex Optimization
On Landscape of Lagrangian Functions and Stochastic Search for Constrained Nonconvex Optimization
Zhehui Chen
Xingguo Li
Lin F. Yang
Jarvis Haupt
T. Zhao
36
4
0
13 Jun 2018
Streaming PCA and Subspace Tracking: The Missing Data Case
Streaming PCA and Subspace Tracking: The Missing Data Case
Laura Balzano
Yuejie Chi
Yue M. Lu
73
87
0
12 Jun 2018
Estimation of Markov Chain via Rank-Constrained Likelihood
Estimation of Markov Chain via Rank-Constrained Likelihood
Xudong Li
Mengdi Wang
Anru R. Zhang
89
18
0
03 Apr 2018
History PCA: A New Algorithm for Streaming PCA
History PCA: A New Algorithm for Streaming PCA
Puyudi Yang
Cho-Jui Hsieh
Jane-ling Wang
AI4TS
56
24
0
15 Feb 2018
Accelerated Stochastic Power Iteration
Accelerated Stochastic Power Iteration
Christopher De Sa
Bryan D. He
Ioannis Mitliagkas
Christopher Ré
Peng Xu
88
91
0
10 Jul 2017
First Efficient Convergence for Streaming k-PCA: a Global, Gap-Free, and
  Near-Optimal Rate
First Efficient Convergence for Streaming k-PCA: a Global, Gap-Free, and Near-Optimal Rate
Zeyuan Allen-Zhu
Yuanzhi Li
160
101
0
26 Jul 2016
LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain
LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain
Zeyuan Allen-Zhu
Yuanzhi Li
97
130
0
12 Jul 2016
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