Reexamining low rank matrix factorization for trace norm regularization

Reexamining low rank matrix factorization for trace norm regularization

Trace norm regularization is a widely used approach for learning low rank matrices. A standard optimization strategy is based on formulating the problem as one of low rank matrix factorization which, however, leads to a non-convex problem. In practice this approach works well, and it is often comput...

Full beskrivning

Bibliografiska uppgifter
Huvudupphovsmän: Carlo Ciliberto, Massimiliano Pontil, Dimitrios Stamos
Materialtyp: Artikel
Språk:English
Publicerad: AIMS Press 2023-08-01
Serie:Mathematics in Engineering
Ämnen:
collaborative filtering
low rank matrix factorization
trace norm regularization
Länkar:https://www.aimspress.com/article/doi/10.3934/mine.2023053?viewType=HTML

Liknande verk

Liknande verk