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Tackling Small Eigen-Gaps: Fine-Grained Eigenvector Estimation and Inference Under Heteroscedastic Noise
Work
Year: 2021
Type: article
Abstract: This paper aims to address two fundamental challenges arising in eigenvector estimation and inference for a low-rank matrix from noisy observations: 1) how to estimate an unknown eigenvector when the ... more
Cites: 100
Cited by: 10
Related to: 10
FWCI: 1.185
Citation percentile (by year/subfield): 81.34
Open Access status: hybrid
Grant IDS CCF-1907661, IIS-2100158, DMS-2014279, IIS-1900140, N00014-19-1-2120 +3 more