Rectangular Rotational Invariant Estimator for General Additive Noise Matrices
Author:
Affiliation:
1. SMILS, EPFL,Lausanne,Switzerland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10206429/10206441/10206784.pdf?arnumber=10206784
Reference31 articles.
1. Bayes-optimal limits in structured pca, and how to reach them;barbier,2022
2. Approximate Message Passing algorithms for rotationally invariant matrices
3. Statistical limits of dictionary learning: Random matrix theory and the spectral replica method
4. Phase Transitions and Sample Complexity in Bayes-Optimal Matrix Factorization
5. Mathematica, Version 13.2,2022
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. The decimation scheme for symmetric matrix factorization;Journal of Physics A: Mathematical and Theoretical;2024-02-12
2. Rectangular Rotational Invariant Estimator for General Additive Noise Matrices;2023 IEEE International Symposium on Information Theory (ISIT);2023-06-25
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