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Bootstrapping the error of Oja's algorithm

Bootstrapping the error of Oja's algorithm

28 June 2021
Robert Lunde
Purnamrita Sarkar
Rachel A. Ward
ArXivPDFHTML

Papers citing "Bootstrapping the error of Oja's algorithm"

33 / 33 papers shown
Title
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression
Bhavya Agrawalla
Krishnakumar Balasubramanian
Promit Ghosal
57
2
0
20 Feb 2023
On the Optimality of the Oja's Algorithm for Online PCA
On the Optimality of the Oja's Algorithm for Online PCA
Xin Liang
38
9
0
31 Mar 2021
Streaming k-PCA: Efficient guarantees for Oja's algorithm, beyond
  rank-one updates
Streaming k-PCA: Efficient guarantees for Oja's algorithm, beyond rank-one updates
De Huang
Jonathan Niles-Weed
Rachel A. Ward
36
20
0
06 Feb 2021
An Analysis of Constant Step Size SGD in the Non-convex Regime:
  Asymptotic Normality and Bias
An Analysis of Constant Step Size SGD in the Non-convex Regime: Asymptotic Normality and Bias
Lu Yu
Krishnakumar Balasubramanian
S. Volgushev
Murat A. Erdogdu
87
51
0
14 Jun 2020
Error Estimation for Sketched SVD via the Bootstrap
Error Estimation for Sketched SVD via the Bootstrap
Miles E. Lopes
N. Benjamin Erichson
Michael W. Mahoney
47
11
0
10 Mar 2020
Estimating the Algorithmic Variance of Randomized Ensembles via the
  Bootstrap
Estimating the Algorithmic Variance of Randomized Ensembles via the Bootstrap
Miles E. Lopes
43
24
0
20 Jul 2019
AdaOja: Adaptive Learning Rates for Streaming PCA
AdaOja: Adaptive Learning Rates for Streaming PCA
Amelia Henriksen
Rachel A. Ward
45
22
0
28 May 2019
SGD without Replacement: Sharper Rates for General Smooth Convex
  Functions
SGD without Replacement: Sharper Rates for General Smooth Convex Functions
Prateek Jain
Dheeraj M. Nagaraj
Praneeth Netrapalli
55
87
0
04 Mar 2019
Error Estimation for Randomized Least-Squares Algorithms via the
  Bootstrap
Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap
Miles E. Lopes
Shusen Wang
Michael W. Mahoney
37
24
0
21 Mar 2018
HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation
HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation
Weijie J. Su
Yuancheng Zhu
68
38
0
13 Feb 2018
Efficient Estimation of Linear Functionals of Principal Components
Efficient Estimation of Linear Functionals of Principal Components
V. Koltchinskii
Matthias Loffler
Richard Nickl
41
33
0
25 Aug 2017
A Bootstrap Method for Error Estimation in Randomized Matrix
  Multiplication
A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication
Miles E. Lopes
Shusen Wang
Michael W. Mahoney
37
15
0
06 Aug 2017
Statistical inference using SGD
Statistical inference using SGD
Tianyang Li
Liu Liu
Anastasios Kyrillidis
Constantine Caramanis
FedML
34
37
0
21 May 2017
Bootstrap confidence sets for spectral projectors of sample covariance
Bootstrap confidence sets for spectral projectors of sample covariance
A. Naumov
V. Spokoiny
V. Ulyanov
48
38
0
02 Mar 2017
Statistical Inference for Model Parameters in Stochastic Gradient
  Descent
Statistical Inference for Model Parameters in Stochastic Gradient Descent
Xi Chen
Jason D. Lee
Xin T. Tong
Yichen Zhang
64
138
0
27 Oct 2016
Non-asymptotic upper bounds for the reconstruction error of PCA
Non-asymptotic upper bounds for the reconstruction error of PCA
M. Reiß
Martin Wahl
67
55
0
13 Sep 2016
Near-Optimal Stochastic Approximation for Online Principal Component
  Estimation
Near-Optimal Stochastic Approximation for Online Principal Component Estimation
C. J. Li
Mengdi Wang
Han Liu
Tong Zhang
55
66
0
16 Mar 2016
An Improved Gap-Dependency Analysis of the Noisy Power Method
An Improved Gap-Dependency Analysis of the Noisy Power Method
Maria-Florina Balcan
S. Du
Yining Wang
Adams Wei Yu
85
71
0
23 Feb 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
52
128
0
22 Feb 2016
Convergence of Stochastic Gradient Descent for PCA
Convergence of Stochastic Gradient Descent for PCA
Ohad Shamir
65
85
0
30 Sep 2015
The Fast Convergence of Incremental PCA
The Fast Convergence of Incremental PCA
Akshay Balsubramani
S. Dasgupta
Y. Freund
73
143
0
15 Jan 2015
Central Limit Theorems and Bootstrap in High Dimensions
Central Limit Theorems and Bootstrap in High Dimensions
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
76
312
0
11 Dec 2014
Bootstrap Consistency for Quadratic Forms of Sample Averages with
  Increasing Dimension
Bootstrap Consistency for Quadratic Forms of Sample Averages with Increasing Dimension
Demian Pouzo
64
13
0
11 Nov 2014
Global Convergence of Stochastic Gradient Descent for Some Non-convex
  Matrix Problems
Global Convergence of Stochastic Gradient Descent for Some Non-convex Matrix Problems
Christopher De Sa
K. Olukotun
Christopher Ré
72
150
0
05 Nov 2014
Bootstrap confidence sets under model misspecification
Bootstrap confidence sets under model misspecification
V. Spokoiny
M. Zhilova
59
74
0
01 Oct 2014
The Noisy Power Method: A Meta Algorithm with Applications
The Noisy Power Method: A Meta Algorithm with Applications
Moritz Hardt
Eric Price
98
204
0
11 Nov 2013
Memory Limited, Streaming PCA
Memory Limited, Streaming PCA
Ioannis Mitliagkas
Constantine Caramanis
Prateek Jain
82
165
0
28 Jun 2013
Gaussian approximations and multiplier bootstrap for maxima of sums of
  high-dimensional random vectors
Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
157
507
0
31 Dec 2012
On the sample covariance matrix estimator of reduced effective rank
  population matrices, with applications to fPCA
On the sample covariance matrix estimator of reduced effective rank population matrices, with applications to fPCA
F. Bunea
Luo Xiao
637
92
0
21 Dec 2012
Low-rank Matrix Completion using Alternating Minimization
Low-rank Matrix Completion using Alternating Minimization
Prateek Jain
Praneeth Netrapalli
Sujay Sanghavi
217
1,065
0
03 Dec 2012
High-dimensional covariance matrix estimation with missing observations
High-dimensional covariance matrix estimation with missing observations
Karim Lounici
170
183
0
12 Jan 2012
Online Identification and Tracking of Subspaces from Highly Incomplete
  Information
Online Identification and Tracking of Subspaces from Highly Incomplete Information
Laura Balzano
Robert D. Nowak
Benjamin Recht
112
424
0
21 Jun 2010
Matrix Completion from a Few Entries
Matrix Completion from a Few Entries
Raghunandan H. Keshavan
Andrea Montanari
Sewoong Oh
421
1,244
0
20 Jan 2009
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