An alternating preconditioned gradient algorithm removes the damping term and achieves linear convergence to near-optimal error for noisy over-parameterized matrix sensing and related low-rank problems.
Low-rank phase retrieval,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Efficient Over-parameterized Matrix Sensing from Noisy Measurements via Alternating Preconditioned Gradient Descent
An alternating preconditioned gradient algorithm removes the damping term and achieves linear convergence to near-optimal error for noisy over-parameterized matrix sensing and related low-rank problems.