Shushi Zhan

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In this paper, we consider the estimation of the parameters in the regression model with matrix covariates, where the matrix parameter is simultaneously low rank and row(column) sparse. A commonly used way is to reformulate the parameter as the sum of rank one matrix. This approach usually involves nonconvex optimization and the global solution is not(More)
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