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Error Estimation for Randomized Least-Squares Algorithms via the
  Bootstrap
v1v2 (latest)

Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap

21 March 2018
Miles E. Lopes
Shusen Wang
Michael W. Mahoney
ArXiv (abs)PDFHTML

Papers citing "Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap"

15 / 15 papers shown
Title
Recent and Upcoming Developments in Randomized Numerical Linear Algebra
  for Machine Learning
Recent and Upcoming Developments in Randomized Numerical Linear Algebra for Machine Learning
Michał Dereziński
Michael W. Mahoney
85
11
0
17 Jun 2024
Error Estimation for Random Fourier Features
Error Estimation for Random Fourier Features
Ju Yao
N. Benjamin Erichson
Miles E. Lopes
60
6
0
22 Feb 2023
On randomized sketching algorithms and the Tracy-Widom law
On randomized sketching algorithms and the Tracy-Widom law
Daniel Ahfock
W. Astle
S. Richardson
50
1
0
03 Jan 2022
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
Hashing embeddings of optimal dimension, with applications to linear
  least squares
Hashing embeddings of optimal dimension, with applications to linear least squares
C. Cartis
J. Fiala
Zhendong Shao
36
10
0
25 May 2021
Estimating leverage scores via rank revealing methods and randomization
Estimating leverage scores via rank revealing methods and randomization
Aleksandros Sobczyk
Efstratios Gallopoulos
13
8
0
23 May 2021
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
61
11
0
10 Mar 2020
Ridge Regression: Structure, Cross-Validation, and Sketching
Ridge Regression: Structure, Cross-Validation, and Sketching
Sifan Liu
Yan Sun
CML
115
48
0
06 Oct 2019
Bootstrapping the Operator Norm in High Dimensions: Error Estimation for
  Covariance Matrices and Sketching
Bootstrapping the Operator Norm in High Dimensions: Error Estimation for Covariance Matrices and Sketching
Miles E. Lopes
N. Benjamin Erichson
Michael W. Mahoney
118
12
0
13 Sep 2019
Estimating the Algorithmic Variance of Randomized Ensembles via the
  Bootstrap
Estimating the Algorithmic Variance of Randomized Ensembles via the Bootstrap
Miles E. Lopes
48
24
0
20 Jul 2019
Asymptotics for Sketching in Least Squares Regression
Asymptotics for Sketching in Least Squares Regression
Yan Sun
Sifan Liu
61
13
0
14 Oct 2018
A Projector-Based Approach to Quantifying Total and Excess Uncertainties
  for Sketched Linear Regression
A Projector-Based Approach to Quantifying Total and Excess Uncertainties for Sketched Linear Regression
Jocelyn T. Chi
Ilse C. F. Ipsen
65
5
0
17 Aug 2018
Subspace Embedding and Linear Regression with Orlicz Norm
Subspace Embedding and Linear Regression with Orlicz Norm
Alexandr Andoni
Chengyu Lin
Ying Sheng
Peilin Zhong
Ruiqi Zhong
71
36
0
17 Jun 2018
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
51
15
0
06 Aug 2017
Statistical properties of sketching algorithms
Statistical properties of sketching algorithms
Daniel Ahfock
W. Astle
S. Richardson
92
39
0
12 Jun 2017
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