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Optimal Sample Complexity of Subgradient Descent for Amplitude Flow via
  Non-Lipschitz Matrix Concentration
v1v2 (latest)

Optimal Sample Complexity of Subgradient Descent for Amplitude Flow via Non-Lipschitz Matrix Concentration

Communications in Mathematical Sciences (CMS), 2020
31 October 2020
Paul Hand
Oscar Leong
V. Voroninski
ArXiv (abs)PDFHTML

Papers citing "Optimal Sample Complexity of Subgradient Descent for Amplitude Flow via Non-Lipschitz Matrix Concentration"

1 / 1 papers shown
Theoretical Perspectives on Deep Learning Methods in Inverse Problems
Theoretical Perspectives on Deep Learning Methods in Inverse ProblemsIEEE Journal on Selected Areas in Information Theory (JSAIT), 2022
Jonathan Scarlett
Reinhard Heckel
M. Rodrigues
Paul Hand
Yonina C. Eldar
AI4CE
416
48
0
29 Jun 2022
1
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