Perturbation analysis shows CUR approximation error under noise is controlled by pseudoinverse norms of selected singular-vector submatrices, with improved bounds for rank-enforced variants.
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Perturbations of CUR Decompositions
Perturbation analysis shows CUR approximation error under noise is controlled by pseudoinverse norms of selected singular-vector submatrices, with improved bounds for rank-enforced variants.