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math.OC2026
Robust principal component analysis with rank and cardinality regularization under matrix factorization
Wenjing Li, Wei Bian, Kim-Chuan Toh
Robust principal component analysis is an important representative method in data analysis. It is usually viewed as an optimization problem involving the rank and -norm of…
math.OC2024
On solving a rank regularized minimization problem via equivalent factorized column-sparse regularized models
Wenjing Li, Wei Bian, Kim-Chuan Toh
Rank regularized minimization problem is an ideal model for the low-rank matrix completion/recovery problem. The matrix factorization approach can transform the high-dimensional ra…