Block-missing data in linear systems: An unbiased stochastic gradient descent approach

Achieving accurate approximations to solutions of large linear systems is crucial, especially when those systems utilize real-world data. A consequence of using real-world data is that there will inevitably be missingness. Current approaches for dealing with missing data, such as deletion and imputa...

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Veröffentlicht in:	arXiv.org 2023-10
Hauptverfasser:	Huynh, Chelsea, Ma, Anna, Strand, Michael
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Convergence Linear systems Missing data Synthetic data
Online-Zugang:	Volltext
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