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How to reduce dimension with PCA and random projections?

How to reduce dimension with PCA and random projections?

1 May 2020
Fan Yang
Sifan Liu
Edgar Dobriban
David P. Woodruff
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Papers citing "How to reduce dimension with PCA and random projections?"

5 / 5 papers shown
Title
Conformal Frequency Estimation using Discrete Sketched Data with
  Coverage for Distinct Queries
Conformal Frequency Estimation using Discrete Sketched Data with Coverage for Distinct Queries
Matteo Sesia
Stefano Favaro
Edgar Dobriban
13
8
0
09 Nov 2022
Sparse sketches with small inversion bias
Sparse sketches with small inversion bias
Michal Derezinski
Zhenyu Liao
Edgar Dobriban
Michael W. Mahoney
17
21
0
21 Nov 2020
Precise expressions for random projections: Low-rank approximation and
  randomized Newton
Precise expressions for random projections: Low-rank approximation and randomized Newton
Michal Derezinski
Feynman T. Liang
Zhenyu A. Liao
Michael W. Mahoney
24
23
0
18 Jun 2020
Optimal Iterative Sketching with the Subsampled Randomized Hadamard
  Transform
Optimal Iterative Sketching with the Subsampled Randomized Hadamard Transform
Jonathan Lacotte
Sifan Liu
Edgar Dobriban
Mert Pilanci
19
8
0
03 Feb 2020
An algorithm for the principal component analysis of large data sets
An algorithm for the principal component analysis of large data sets
N. Halko
P. Martinsson
Y. Shkolnisky
M. Tygert
60
277
0
30 Jul 2010
1