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...

詳細記述

書誌詳細

出版年:	Mathematics in Engineering
主要な著者:	Carlo Ciliberto, Massimiliano Pontil, Dimitrios Stamos
フォーマット:	論文
言語:	英語
出版事項:	AIMS Press 2023-08-01
主題:	collaborative filtering low rank matrix factorization trace norm regularization
オンライン･アクセス:	https://www.aimspress.com/article/doi/10.3934/mine.2023053?viewType=HTML