Approximation Algorithms for \ell_0-Low Rank Approximation

NeurIPS 2017 Karl BringmannPavel KolevDavid Woodruff

We study the $\ell_0$-Low Rank Approximation Problem, where the goal is, given an $m \times n$ matrix $A$, to output a rank-$k$ matrix $A'$ for which $\|A'-A\|_0$ is minimized. Here, for a matrix $B$, $\|B\|_0$ denotes the number of its non-zero entries... (read more)

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