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Estimating the Algorithmic Variance of Randomized Ensembles via the
  Bootstrap

Estimating the Algorithmic Variance of Randomized Ensembles via the Bootstrap

20 July 2019
Miles E. Lopes
ArXiv (abs)PDFHTML

Papers citing "Estimating the Algorithmic Variance of Randomized Ensembles via the Bootstrap"

6 / 6 papers shown
Title
Extrapolated cross-validation for randomized ensembles
Extrapolated cross-validation for randomized ensembles
Jin-Hong Du
Pratik V. Patil
Kathryn Roeder
Arun K. Kuchibhotla
69
5
0
27 Feb 2023
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
Randomization as Regularization: A Degrees of Freedom Explanation for
  Random Forest Success
Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success
L. Mentch
Siyu Zhou
67
72
0
01 Nov 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
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
58
24
0
21 Mar 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
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