Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimalityDownload PDFOpen Website

2020 (modified: 16 May 2022)ICML 2020Readers: Everyone
Abstract: We study the distribution and uncertainty of nonconvex optimization for noisy tensor completion — the problem of estimating a low-rank tensor given incomplete and corrupted observations of its entr...
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