Fast Parallel Algorithms for Statistical Subset Selection Problems

NeurIPS 2019 Sharon QianYaron Singer

In this paper, we propose a new framework for designing fast parallel algorithms for fundamental statistical subset selection tasks that include feature selection and experimental design. Such tasks are known to be weakly submodular and are amenable to optimization via the standard greedy algorithm... (read more)

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