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Near-Optimal Stochastic Approximation for Online Principal Component
  Estimation

Near-Optimal Stochastic Approximation for Online Principal Component Estimation

16 March 2016
C. J. Li
Mengdi Wang
Han Liu
Tong Zhang
ArXivPDFHTML

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

13 / 13 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
22
0
0
16 May 2025
Black-Box $k$-to-$1$-PCA Reductions: Theory and Applications
Black-Box kkk-to-111-PCA Reductions: Theory and Applications
A. Jambulapati
Syamantak Kumar
Jerry Li
Shourya Pandey
Ankit Pensia
Kevin Tian
39
2
0
06 Mar 2024
High-dimensional scaling limits and fluctuations of online least-squares
  SGD with smooth covariance
High-dimensional scaling limits and fluctuations of online least-squares SGD with smooth covariance
Krishnakumar Balasubramanian
Promit Ghosal
Ye He
40
5
0
03 Apr 2023
Online Kernel Sliced Inverse Regression
Online Kernel Sliced Inverse Regression
Wenquan Cui
Yue Zhao
Jianjun Xu
Haoyang Cheng
20
0
0
23 Jan 2023
Nonconvex Stochastic Scaled-Gradient Descent and Generalized Eigenvector
  Problems
Nonconvex Stochastic Scaled-Gradient Descent and Generalized Eigenvector Problems
C. J. Li
Michael I. Jordan
37
2
0
29 Dec 2021
A note on concentration inequality for vector-valued martingales with weak exponential-type tails
C. J. Li
14
3
0
06 Sep 2018
Diffusion Approximations for Online Principal Component Estimation and
  Global Convergence
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
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
50
571
0
04 Jul 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
13
84
0
12 Jun 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
23
23
0
15 Feb 2018
Accelerated Stochastic Power Iteration
Accelerated Stochastic Power Iteration
Christopher De Sa
Bryan D. He
Ioannis Mitliagkas
Christopher Ré
Peng Xu
43
89
0
10 Jul 2017
LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain
LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain
Zeyuan Allen-Zhu
Yuanzhi Li
36
128
0
12 Jul 2016
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
104
572
0
08 Dec 2012
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