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MOCCA: Mirrored Convex/Concave Optimization for Nonconvex Composite Functions
Many optimization problems arising in high-dimensional statistics decompose naturally into a sum of several terms, where the individual terms are relatively simple but the composite objective function can only be optimized with iterative algorithms. In this paper, we are interested in optimization p...
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| Опубликовано в: : | J Mach Learn Res |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5789814/ https://ncbi.nlm.nih.gov/pubmed/29391859 |
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