Web: http://arxiv.org/abs/2201.08516

Jan. 24, 2022, 2:10 a.m. | Shangrong Yu, Yuxin Chen, Hejun Wu

cs.LG updates on arXiv.org arxiv.org

Low-rank inductive matrix completion (IMC) is currently widely used in IoT
data completion, recommendation systems, and so on, as the side information in
IMC has demonstrated great potential in reducing sample point remains a major
obstacle for the convergence of the nonconvex solutions to IMC. What's more,
carefully choosing the initial solution alone does not usually help remove the
saddle points. To address this problem, we propose a stocastic variance
reduction gradient-based algorithm called LRSVRG-IMC. LRSVRG-IMC can escape
from the …

algorithm arxiv

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