A Perturbation Bound on the Subspace Estimator from Canonical Projections

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Publication date: 28 June 2022

Abstract: This paper derives a perturbation bound on the optimal subspace estimator obtained from a subset of its canonical projections contaminated by noise. This fundamental result has important implications in matrix completion, subspace clustering, and related problems.

Has companion code repository: https://github.com/ksrivastava1/identifying-subspaces

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