On Estimating Rank-One Spiked Tensors in the Presence of Heavy Tailed Errors
Author:
Affiliation:
1. Department of Statistics, Columbia University, New York, NY, USA
Funder
NSF
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Library and Information Sciences,Computer Science Applications,Information Systems
Link
https://ieeexplore.ieee.org/ielam/18/9961124/9832007-aam.pdf
Reference45 articles.
1. Rank-One Approximation to High Order Tensors
2. Tensor sparsification via a bound on the spectral norm of random tensors: Algorithm 1.
3. PAC-Bayesian bounds for principal component analysis in Hilbert spaces;giulini;arXiv 1511 06263,2015
4. Robust estimation of high-dimensional covariance and precision matrices
5. Robust covariance estimation under $L_{4}-L_{2}$ norm equivalence
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