Matrix completion with nonconvex regularization: spectral operators and scalable algorithms
Abstract In this paper, we study the popularly dubbed matrix completion problem, where the task is to “fill in” the unobserved entries of a matrix from a small subset of observed entries, under the assumption that the underlying matrix is of low rank. Our contributions herein enhance our prior work...
| Autors principals: | , , |
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| Altres autors: | |
| Format: | Article |
| Idioma: | English |
| Publicat: |
Springer US
2021
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| Accés en línia: | https://hdl.handle.net/1721.1/131497 |