compressed sensing

Designed Measurements for Vector Count Data NeurIPS 2013 Estimating Unknown Sparsity in Compressed Sensing ICML 2013 Greedy Sparsity-Constrained Optimization JMLR 2013 Guaranteed Sparse Recovery under Linear Transformation ICML 2013 Intersecting singularities for multi-structured estimation ICML 2013 Modelling Sparse Dynamical Systems with Compressed Predictive State Representations ICML 2013 Non-convex P-Norm Projection for Robust Sparsity ICCV 2013 One-Bit Compressed Sensing: Provable Support and Vector Recovery ICML 2013 Sparse nonnegative deconvolution for compressive calcium imaging: algorithms and phase transitions NeurIPS 2013 Spectral Compressed Sensing via Structured Matrix Completion ICML 2013 When in Doubt, SWAP: High-Dimensional Sparse Recovery from Correlated Measurements NeurIPS 2013 A Multi-Stage Framework for Dantzig Selector and LASSO JMLR 2012 Approximate Message Passing with Consistent Parameter Estimation and Applications to Sparse Learning NeurIPS 2012 Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit AISTATS 2012 Detecting Network Cliques with Radon Basis Pursuit AISTATS 2012 Exact and Stable Recovery of Sequences of Signals with Sparse Increments via Differential _1-Minimization NeurIPS 2012 Exact Recovery of Sparsely-Used Dictionaries COLT 2012 Feature Clustering for Accelerating Parallel Coordinate Descent NeurIPS 2012 Multilabel Classification using Bayesian Compressed Sensing NeurIPS 2012 Reconstruction from Anisotropic Random Measurements COLT 2012 Universal Measurement Bounds for Structured Sparse Signal Recovery AISTATS 2012 Dimensionality Reduction Using the Sparse Linear Model NeurIPS 2011 Learning Sparse Representations of High Dimensional Data on Large Scale Dictionaries NeurIPS 2011 Multi-Label Output Codes using Canonical Correlation Analysis AISTATS 2011 Neural Reconstruction with Approximate Message Passing (NeuRAMP) NeurIPS 2011