Jing-Cheng Shi

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Subset selection that selects a few variables from a large set is a fundamental problem in many areas. The recently emerged Pareto Optimization for Subset Selection (POSS) method is a powerful approximation solver for this problem. However , POSS is not readily parallelizable, restricting its large-scale applications on modern computing architectures. In(More)
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