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"How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery?"

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

Richard Y. Zhang et al. (2018)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2026-04-29

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  - electronic edition @ neurips.cc (open access)
  - electronic edition @ nips.cc (open access)
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  dblp key:
  - conf/nips/ZhangJSL18
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  persistent URL:
  - https://dblp.org/rec/conf/nips/ZhangJSL18
Richard Y. Zhang, Cédric Josz, Somayeh Sojoudi, Javad Lavaei:
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery? NeurIPS 2018: 5591-5602

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