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Tighter Low-rank Approximation via Sampling the Leveraged Element

Tighter Low-rank Approximation via Sampling the Leveraged Element

14 October 2014
Srinadh Bhojanapalli
Prateek Jain
Sujay Sanghavi
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Papers citing "Tighter Low-rank Approximation via Sampling the Leveraged Element"

7 / 7 papers shown
Title
Weighted matrix completion from non-random, non-uniform sampling
  patterns
Weighted matrix completion from non-random, non-uniform sampling patterns
S. Foucart
Deanna Needell
Reese Pathak
Y. Plan
Mary Wootters
16
27
0
30 Oct 2019
LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain
LazySVD: Even Faster SVD Decomposition Yet Without Agonizing Pain
Zeyuan Allen-Zhu
Yuanzhi Li
30
128
0
12 Jul 2016
Fast Algorithms for Robust PCA via Gradient Descent
Fast Algorithms for Robust PCA via Gradient Descent
Xinyang Yi
Dohyung Park
Yudong Chen
C. Caramanis
24
265
0
25 May 2016
Recovery guarantee of weighted low-rank approximation via alternating
  minimization
Recovery guarantee of weighted low-rank approximation via alternating minimization
Yuanzhi Li
Yingyu Liang
Andrej Risteski
21
45
0
06 Feb 2016
Provably Correct Algorithms for Matrix Column Subset Selection with
  Selectively Sampled Data
Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data
Yining Wang
Aarti Singh
19
22
0
17 May 2015
A New Sampling Technique for Tensors
A New Sampling Technique for Tensors
Srinadh Bhojanapalli
Sujay Sanghavi
28
35
0
17 Feb 2015
Dimensionality Reduction for k-Means Clustering and Low Rank
  Approximation
Dimensionality Reduction for k-Means Clustering and Low Rank Approximation
Michael B. Cohen
Sam Elder
Cameron Musco
Christopher Musco
Madalina Persu
40
355
0
24 Oct 2014
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