Group zero-norm robust regression is solved by a proximal MM method with semismooth Newton subproblems, with KL-based convergence and restricted-eigenvalue error bounds.
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Group zero-norm regularized robust loss minimization: proximal MM method and statistical error bound
Group zero-norm robust regression is solved by a proximal MM method with semismooth Newton subproblems, with KL-based convergence and restricted-eigenvalue error bounds.