sparse signal recovery

i-SpaSP: Structured Neural Pruning via Sparse Signal Recovery L4DC 2022 Support Recovery of Sparse Signals from a Mixture of Linear Measurements NeurIPS 2021 Recovery of Sparse Signals from a Mixture of Linear Samples ICML 2020 ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA ICLR 2019 Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere NeurIPS 2018 Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds NeurIPS 2018 On the Global Geometry of Sphere-Constrained Sparse Blind Deconvolution CVPR 2017 Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery NeurIPS 2017 Estimating Sparse Signals With Smooth Support via Convex Programming and Block Sparsity CVPR 2016 One Scan 1-Bit Compressed Sensing AISTATS 2016 The Constrained Dantzig Selector with Enhanced Consistency JMLR 2016 b-bit Marginal Regression NeurIPS 2015 Piecewise Flat Embedding for Image Segmentation ICCV 2015 Bayesian Inference for Structured Spike and Slab Priors NeurIPS 2014 Compressed Counting Meets Compressed Sensing COLT 2014 Blind Calibration in Compressed Sensing using Message Passing Algorithms NeurIPS 2013 A Multi-Stage Framework for Dantzig Selector and LASSO JMLR 2012 CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem NeurIPS 2012 Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization NeurIPS 2012 Universal Measurement Bounds for Structured Sparse Signal Recovery AISTATS 2012 A Fast Algorithm for Recovery of Jointly Sparse Vectors based on the Alternating Direction Methods AISTATS 2011 Multi-Stage Dantzig Selector NeurIPS 2010 Learning with Compressible Priors NeurIPS 2009 Orthogonal Matching Pursuit From Noisy Random Measurements: A New Analysis NeurIPS 2009 Sparse Signal Recovery Using Markov Random Fields NeurIPS 2008