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Low-Rank Matrix Approximation in the Infinity Norm

Low-Rank Matrix Approximation in the Infinity Norm

31 May 2017
Nicolas Gillis
Y. Shitov
ArXivPDFHTML

Papers citing "Low-Rank Matrix Approximation in the Infinity Norm"

3 / 3 papers shown
Title
When big data actually are low-rank, or entrywise approximation of certain function-generated matrices
When big data actually are low-rank, or entrywise approximation of certain function-generated matrices
Stanislav Budzinskiy
75
2
0
03 Jul 2024
Critical Points and Convergence Analysis of Generative Deep Linear
  Networks Trained with Bures-Wasserstein Loss
Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss
Pierre Bréchet
Katerina Papagiannouli
Jing An
Guido Montúfar
38
3
0
06 Mar 2023
Why are Big Data Matrices Approximately Low Rank?
Why are Big Data Matrices Approximately Low Rank?
Madeleine Udell
Alex Townsend
29
25
0
21 May 2017
1