Nonconvex Sparse Logistic Regression with Weakly Convex Regularization

7 Aug 2017 Xinyue Shen Yuantao Gu

In this work we propose to fit a sparse logistic regression model by a weakly convex regularized nonconvex optimization problem. The idea is based on the finding that a weakly convex function as an approximation of the $\ell_0$ pseudo norm is able to better induce sparsity than the commonly used $\ell_1$ norm... (read more)

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