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Accelerated Path-following Iterative Shrinkage Thresholding Algorithm with Application to Semiparametric Graph Estimation

We propose an accelerated path-following iterative shrinkage thresholding algorithm (APISTA) for solving high dimensional sparse nonconvex learning problems. The main difference between APISTA and the path-following iterative shrinkage thresholding algorithm (PISTA) is that APISTA exploits an additi...

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Vydáno v:J Comput Graph Stat
Hlavní autoři: Zhao, Tuo, Liu, Han
Médium: Artigo
Jazyk:Inglês
Vydáno: 2016
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5271586/
https://ncbi.nlm.nih.gov/pubmed/28133430
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10618600.2016.1164533
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