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Found 2 papers, 1 papers with code
A preconditioned accelerated stochastic gradient descent algorithm
We derive sufficient convergence conditions for the minimization of convex functions using a generic class of diagonal preconditioners and provide a formal convergence proof based on a framework originally used for on-line learning.
Robust sparse image reconstruction of radio interferometric observations with purify
However, they produce reconstructed inter\-ferometric images that are limited in quality and scalability for big data.
Instrumentation and Methods for Astrophysics
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