Folded concave penalized sparse linear regression: sparsity, statistical performance, and algorithmic theory for local solutions
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This paper concerns the folded concave penalized sparse linear regression (FCPSLR), a class of popular sparse recovery methods. Although FCPSLR yields desirable recovery performance when solved globally, computing a global solution is NP-complete. Despite some... ...
