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A Nonconvex Optimization Framework for Low Rank Matrix Estimation()
We study the estimation of low rank matrices via nonconvex optimization. Compared with convex relaxation, nonconvex optimization exhibits superior empirical performance for large scale instances of low rank matrix estimation. However, the understanding of its theoretical guarantees are limited. In t...
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| Publicado no: | Adv Neural Inf Process Syst |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5354472/ https://ncbi.nlm.nih.gov/pubmed/28316458 |
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