A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems

Abstract: Non-convex sparsity-inducing penalties have recently received considerable attentions in sparse learning. Recent theoretical investigations have demonstrated their superiority over the convex count...
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