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approximate message passing

48 papers

AMP

Papers

All-or-nothing statistical and computational phase transitions in sparse spiked matrix estimation NeurIPS 2020 An Asymptotic Rate for the LASSO Loss AISTATS 2020 Asymptotic Errors for High-Dimensional Convex Penalized Linear Regression beyond Gaussian Matrices COLT 2020 Matrix Inference and Estimation in Multi-Layer Models NeurIPS 2020 Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing NeurIPS 2019 Generalized Approximate Survey Propagation for High-Dimensional Estimation ICML 2019 The spiked matrix model with generative priors NeurIPS 2019 Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior CVPR 2019 Approximate message passing for amplitude based optimization ICML 2018 Optimal Errors and Phase Transitions in High-Dimensional Generalized Linear Models COLT 2018 Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis NeurIPS 2018 The committee machine: Computational to statistical gaps in learning a two-layers neural network NeurIPS 2018 Learned D-AMP: Principled Neural Network based Compressive Image Recovery NeurIPS 2017 Rigorous Dynamics and Consistent Estimation in Arbitrarily Conditioned Linear Systems NeurIPS 2017 Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula NeurIPS 2016 Swept Approximate Message Passing for Sparse Estimation ICML 2015 Scalable Inference for Neuronal Connectivity from Calcium Imaging NeurIPS 2014 Blind Calibration in Compressed Sensing using Message Passing Algorithms NeurIPS 2013 Low-rank matrix reconstruction and clustering via approximate message passing NeurIPS 2013 Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning NeurIPS 2012 Neural Reconstruction with Approximate Message Passing (NeuRAMP) NeurIPS 2011 The LASSO risk: asymptotic results and real world examples NeurIPS 2010 TrueSkill Through Time: Revisiting the History of Chess NeurIPS 2007