Decoding From Pooled Data: Phase Transitions of Message Passing
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Michael I. Jordan | Florent Krzakala | Lenka Zdeborová | Aaditya Ramdas | Ahmed El Alaoui | Aaditya Ramdas | Ahmed El Alaoui | F. Krzakala | L. Zdeborová
[1] R. Palmer,et al. Solution of 'Solvable model of a spin glass' , 1977 .
[2] M. Mézard,et al. Spin Glass Theory and Beyond , 1987 .
[3] M. O’Donovan,et al. DNA Pooling: a tool for large-scale association studies , 2002, Nature Reviews Genetics.
[4] Sergio Verdú,et al. Randomly spread CDMA: asymptotics via statistical physics , 2005, IEEE Transactions on Information Theory.
[5] Andrea Montanari,et al. Message-passing algorithms for compressed sensing , 2009, Proceedings of the National Academy of Sciences.
[6] Andrea Montanari,et al. The dynamics of message passing on dense graphs, with applications to compressed sensing , 2010, ISIT.
[7] Andrea Montanari,et al. Universality in polytope phase transitions and iterative algorithms , 2012, 2012 IEEE International Symposium on Information Theory Proceedings.
[8] Sundeep Rangan,et al. Hybrid generalized approximate message passing with applications to structured sparsity , 2012, 2012 IEEE International Symposium on Information Theory Proceedings.
[9] Florent Krzakala,et al. Statistical physics of inference: thresholds and algorithms , 2015, ArXiv.
[10] Kwang-Cheng Chen,et al. Data extraction via histogram and arithmetic mean queries: Fundamental limits and algorithms , 2016, 2016 IEEE International Symposium on Information Theory (ISIT).
[11] Michael I. Jordan,et al. Decoding from Pooled Data: Sharp Information-Theoretic Bounds , 2016, SIAM J. Math. Data Sci..
[12] Tsuyoshi Murata,et al. {m , 1934, ACML.