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Binary matrix completion with nonconvex regularizers
[article]
2019
arXiv
pre-print
Many practical problems involve the recovery of a binary matrix from partial information, which makes the binary matrix completion (BMC) technique received increasing attention in machine learning. In particular, we consider a special case of BMC problem, in which only a subset of positive elements can be observed. In recent years, convex regularization based methods are the mainstream approaches for this task. However, the applications of nonconvex surrogates in standard matrix completion have
arXiv:1904.03807v1
fatcat:vax3knssmnfczbw3dcd43anktm