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Showing 1 to 2 of 2 for “"nonconvex penalty"”.
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Low-rank estimation and embedding learning: theory and applications
… of matrix estimation is considered with a nonconvex penalty. Compared with convex regularization, nonconvex penalty takes advantage of the large singular values, which leads to faster statistical convergence rate and oracle property under a mild condition on the magnitude of the singular …
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Functional Linear Regression in High Dimensions
Functional linear regression has occupied a central position in the area of functional data analysis, and attracted substantial research attention in the past decade. With increasingly complex data of this type collected in modern experiments, we conduct further investigations in response to the …