Weighted l1-Analysis minimization and stochastic gradient descent for low rank matrix recovery
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
RWTH Aachen University, Dissertation, 2020
- Schlagwort
-
Social classes
- Ereignis
-
Veröffentlichung
- (wo)
-
Aachen
- (wer)
-
Universitätsbibliothek der RWTH Aachen
- (wann)
-
2020
- Urheber
- Beteiligte Personen und Organisationen
- DOI
-
10.18154/RWTH-2020-12557
- URN
-
urn:nbn:de:101:1-2021022402330994448586
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:47 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Fell, Jonathan
- Rauhut, Holger
- Führ, Hartmut
- Universitätsbibliothek der RWTH Aachen
Entstanden
- 2020
Ähnliche Objekte (12)
Gradient descent akin method
On Cyclic Gradient Descent Reprojection
Gradient descent on parametric Markov Chains
cPro: Circular Projections Using Gradient Descent
Local Convergence of Adaptive Gradient Descent Optimizers
Scalable stochastic gradient descent with improved confidence
Adaptive Step Sizes for Stochastic Gradient Descent
Gradient descent for wide two-layer neural networks
XGANDALF – extended gradient descent algorithm for lattice finding
Gradient descent for wide two-layer neural networks
Beyond Stochastic Gradient Descent for Large-scale Machine Learning
Kinetic models for label switching and stochastic gradient descent
Gradient descent akin method
On Cyclic Gradient Descent Reprojection
Gradient descent on parametric Markov Chains
cPro: Circular Projections Using Gradient Descent
Local Convergence of Adaptive Gradient Descent Optimizers
Scalable stochastic gradient descent with improved confidence
Adaptive Step Sizes for Stochastic Gradient Descent
Gradient descent for wide two-layer neural networks
XGANDALF – extended gradient descent algorithm for lattice finding
Gradient descent for wide two-layer neural networks
Beyond Stochastic Gradient Descent for Large-scale Machine Learning
Kinetic models for label switching and stochastic gradient descent
Gradient descent akin method
On Cyclic Gradient Descent Reprojection
Gradient descent on parametric Markov Chains
cPro: Circular Projections Using Gradient Descent
Local Convergence of Adaptive Gradient Descent Optimizers
Scalable stochastic gradient descent with improved confidence
Adaptive Step Sizes for Stochastic Gradient Descent
Gradient descent for wide two-layer neural networks
XGANDALF – extended gradient descent algorithm for lattice finding
Gradient descent for wide two-layer neural networks
Beyond Stochastic Gradient Descent for Large-scale Machine Learning