arXiv stat.ML
· Papers
Weighted Low-Rank Matrix Approximation: Acceleration and Applications
arXiv:2109.11057v2 Announce Type: replace Abstract: Weighted low-rank matrix approximation (WLRMA) generalizes classical low-rank approximation and matrix completion by allowing arbitrary elementwise weights. Such formulations arise naturally in a broad class of statistical models, including generalized linear low-rank