A Perturbation Bound on the Subspace Estimator from Canonical Projections

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.

You can find my ISIT 22 presentation slides on this paper here .