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Sublinear Time Low-Rank Approximation of Positive Semidefinite Matrices
11 April 2017
Cameron Musco
David P. Woodruff
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Papers citing
"Sublinear Time Low-Rank Approximation of Positive Semidefinite Matrices"
27 / 27 papers shown
Title
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Randomly Pivoted Partial Cholesky: Random How?
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Hardness of Low Rank Approximation of Entrywise Transformed Matrix Products
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Relating tSNE and UMAP to Classical Dimensionality Reduction
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Krylov Methods are (nearly) Optimal for Low-Rank Approximation
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Sub-quadratic Algorithms for Kernel Matrices via Kernel Density Estimation
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Piotr Indyk
Praneeth Kacham
Sandeep Silwal
Samson Zhou
104
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01 Dec 2022
Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations
Yifan Chen
Ethan N. Epperly
J. Tropp
R. Webber
121
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13 Jul 2022
Improved analysis of randomized SVD for top-eigenvector approximation
Ruo-Chun Tzeng
Po-An Wang
Florian Adriaens
Aristides Gionis
Chi-Jen Lu
38
1
0
16 Feb 2022
Low-Rank Approximation with
1
/
ε
1
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1/ε^{1/3}
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ε
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Matrix-Vector Products
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K. Clarkson
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73
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10 Feb 2022
Sublinear Time Approximation of Text Similarity Matrices
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Nicholas Monath
Andrew McCallum
Cameron Musco
62
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Learning a Latent Simplex in Input-Sparsity Time
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Chiranjib Bhattacharyya
R. Kannan
David P. Woodruff
Samson Zhou
140
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Faster Kernel Matrix Algebra via Density Estimation
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Piotr Indyk
Cameron Musco
Tal Wagner
70
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Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
Nadiia Chepurko
K. Clarkson
L. Horesh
Honghao Lin
David P. Woodruff
60
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Generalized Leverage Score Sampling for Neural Networks
Jason D. Lee
Ruoqi Shen
Zhao Song
Mengdi Wang
Zheng Yu
71
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21 Sep 2020
Projection-Cost-Preserving Sketches: Proof Strategies and Constructions
Cameron Musco
Christopher Musco
45
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Sublinear Time Numerical Linear Algebra for Structured Matrices
Xiaofei Shi
David P. Woodruff
54
17
0
12 Dec 2019
Robust and Sample Optimal Algorithms for PSD Low-Rank Approximation
Ainesh Bakshi
Nadiia Chepurko
David P. Woodruff
60
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Adversarially Robust Low Dimensional Representations
Pranjal Awasthi
Vaggos Chatziafratis
Xue Chen
Aravindan Vijayaraghavan
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103
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0
29 Nov 2019
Optimal Sketching for Kronecker Product Regression and Low Rank Approximation
H. Diao
Rajesh Jayaram
Zhao Song
Wen Sun
David P. Woodruff
76
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0
29 Sep 2019
Sample-Optimal Low-Rank Approximation of Distance Matrices
Piotr Indyk
A. Vakilian
Tal Wagner
David P. Woodruff
53
36
0
02 Jun 2019
Tight Kernel Query Complexity of Kernel Ridge Regression and Kernel
k
k
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-means Clustering
Manuel Fernández
David P. Woodruff
T. Yasuda
60
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0
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A Universal Sampling Method for Reconstructing Signals with Simple Fourier Transforms
H. Avron
Michael Kapralov
Cameron Musco
Christopher Musco
A. Velingker
A. Zandieh
64
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0
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Is Input Sparsity Time Possible for Kernel Low-Rank Approximation?
Cameron Musco
David P. Woodruff
105
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0
05 Nov 2017
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data
J. Tropp
A. Yurtsever
Madeleine Udell
Volkan Cevher
80
81
0
18 Jun 2017
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