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No Statistical-Computational Gap in Spiked Matrix Models with Generative Network Priors †
We provide a non-asymptotic analysis of the spiked Wishart and Wigner matrix models with a generative neural network prior. Spiked random matrices have the form of a rank-one signal plus noise and have been used as models for high dimensional Principal Component Analysis (PCA), community detection a...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7830301/ https://www.ncbi.nlm.nih.gov/pubmed/33467175 http://dx.doi.org/10.3390/e23010115 |