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Search: subject:"Low-rank matrix recovery"
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Mathematical programming
3
Mathematische Optimierung
3
low-rank matrix recovery
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Algorithm
2
Algorithmus
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Low-rank matrix recovery
2
Theorie
2
Theory
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nonconvex optimization
2
Artificial intelligence
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Estimation theory
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Kleinste-Quadrate-Methode
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Künstliche Intelligenz
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Least squares method
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Linear algebra
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Lineare Algebra
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Low-rank optimization
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Machine Learning and Data Science
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Nonsmooth semidefinite optimization
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RIP condition
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Riemannian manifold optimization
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Schätztheorie
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Semidefinite programming
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first order methods
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low-rank optimization
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matrix exponentiated gradient
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nonconvex Schatten p-minimization
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quadratic convergence
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rank-constrained least squares
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restricted isometry property
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sketching
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Garber, Dan
2
Kaplan, Atara
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Bi, Yingjie
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Huang, Wen
1
KONG, LINGCHEN
1
Lavaei, Javad M.
1
Li, Xudong
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Luo, Yuetian
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Ma, Ziye
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Sojoudi, Somayeh
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XIU, NAIHUA
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Asia-Pacific Journal of Operational Research (APJOR)
1
INFORMS journal on optimization
1
Mathematics of operations research
1
Operations research
1
Operations research letters : a journal of INFORMS devoted to the rapid publication of concise contributions in operations research
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ECONIS (ZBW)
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Low-rank extragradient methods for scalable semidefinite optimization
Garber, Dan
;
Kaplan, Atara
- In:
Operations research letters : a journal of INFORMS …
60
(
2025
),
pp. 1-7
Persistent link: https://www.econbiz.de/10015358897
Saved in:
2
Recursive importance sketching for rank constrained least squares : algorithms and high-order convergence
Luo, Yuetian
;
Huang, Wen
;
Li, Xudong
;
Zhang, Anru
- In:
Operations research
72
(
2024
)
1
,
pp. 237-256
Persistent link: https://www.econbiz.de/10014505097
Saved in:
3
Geometric analysis of noisy
low-rank
matrix
recovery
in the exact parametrized and the overparametrized regimes
Ma, Ziye
;
Bi, Yingjie
;
Lavaei, Javad M.
;
Sojoudi, Somayeh
- In:
INFORMS journal on optimization
5
(
2023
)
4
,
pp. 356-375
Persistent link: https://www.econbiz.de/10014433479
Saved in:
4
On the efficient implementation of the matrix exponentiated gradient algorithm for low-rank matrix optimization
Garber, Dan
;
Kaplan, Atara
- In:
Mathematics of operations research
48
(
2023
)
4
,
pp. 2094-2128
Persistent link: https://www.econbiz.de/10014437817
Saved in:
5
EXACT
LOW-RANK
MATRIX
RECOVERY
VIA NONCONVEX SCHATTEN p-MINIMIZATION
KONG, LINGCHEN
;
XIU, NAIHUA
- In:
Asia-Pacific Journal of Operational Research (APJOR)
30
(
2013
)
03
,
pp. 1340010-1
The
low-rank
matrix
recovery
(LMR) arises in many fields such as signal and image processing, quantum state tomography …
Persistent link: https://www.econbiz.de/10011010798
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