Universality of approximate message passing with semirandom matrices
Author:
Affiliation:
1. Department of Statistics, Harvard University
2. John A. Paulson School of Engineering and Applied Sciences, Harvard University
Publisher
Institute of Mathematical Statistics
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Reference73 articles.
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2. Donoho, D. L., Maleki, A. and Montanari, A. (2009). Message-passing algorithms for compressed sensing. Proc. Natl. Acad. Sci. USA 106 18914–18919.
3. Javanmard, A. and Montanari, A. (2013). State evolution for general approximate message passing algorithms, with applications to spatial coupling. Inf. Inference 2 115–144.
4. Mézard, M. and Montanari, A. (2009). Information, Physics, and Computation. Oxford Graduate Texts. Oxford Univ. Press, Oxford.
5. Carmona, P. and Hu, Y. (2006). Universality in Sherrington–Kirkpatrick’s spin glass model. Ann. Inst. Henri Poincaré Probab. Stat. 42 215–222.
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