Nonlinear Function Estimation with Empirical Bayes and Approximate Message Passing

Hangjin Liu, Zhou, Ahmad Beirami, Dror Baron

Type: Preprint

Publication Date: 2019-01-01

Citations: 0

DOI: https://doi.org/10.48550/arxiv.1907.02482

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+	The Elements of Statistical Learning	2001	Trevor Hastie J. Friedman Robert Tibshirani
+ PDF Chat	Local Polynomial Kernel Regression for Generalized Linear Models and Quasi-Likelihood Functions	1995	Jianqing Fan Nancy Heckman M. P. Wand
+	Message-passing algorithms for compressed sensing	2009	David L. Donoho Arian Maleki Andrea Montanari
+	Recovery From Linear Measurements With Complexity-Matching Universal Signal Estimation	2015	Junan Zhu Dror Baron Marco F. Duarte
+ PDF Chat	Asymptotic Analysis of MAP Estimation via the Replica Method and Applications to Compressed Sensing	2012	Sundeep Rangan Alyson K. Fletcher Vivek K Goyal
+	Using the kernel trick in compressive sensing: Accurate signal recovery from fewer measurements	2011	Hanchao Qi Shannon M. Hughes
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani
+ PDF Chat	Bayesian Compressive Sensing Via Belief Propagation	2009	Dror Baron Shriram Sarvotham Richard G. Baraniuk
+ PDF Chat	Randomly Spread CDMA: Asymptotics Via Statistical Physics	2005	Dongning Guo Sergio Verdú
+	Empirical Bayes and Full Bayes for Signal Estimation	2014	Yanting Ma Jin Tan Nikhil Krishnan Dror Baron