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- W3012719514 abstract "We consider a broad class of Approximate Message Passing (AMP) algorithms defined as a Lipschitzian functional iteration in terms of an $ntimes n$ random symmetric matrix $A$. We establish universality in noise for this AMP in the $n$-limit and validate this behavior in a number of AMPs popularly adapted in compressed sensing, statistical inferences, and optimizations in spin glasses." @default.
- W3012719514 created "2020-03-27" @default.
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- W3012719514 date "2020-03-23" @default.
- W3012719514 modified "2023-10-18" @default.
- W3012719514 title "Universality of Approximate Message Passing Algorithms" @default.
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- W3012719514 doi "https://doi.org/10.48550/arxiv.2003.10431" @default.
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