sparse recovery

Low-Rank and Sparse Structure Pursuit via Alternating Minimization AISTATS 2016 Rate Optimal Denoising of Simultaneously Sparse and Low Rank Matrices JMLR 2016 A Nearly-Linear Time Framework for Graph-Structured Sparsity ICML 2015 A Simple Homotopy Algorithm for Compressive Sensing AISTATS 2015 Associative Memory via a Sparse Recovery Model NeurIPS 2015 Efficient Compressive Phase Retrieval with Constrained Sensing Vectors NeurIPS 2015 Fine-Grained Change Detection of Misaligned Scenes With Varied Illuminations ICCV 2015 Geometric Conditions for Subspace-Sparse Recovery ICML 2015 Inferring Graphs from Cascades: A Sparse Recovery Framework ICML 2015 LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements NeurIPS 2015 Robust Regression via Hard Thresholding NeurIPS 2015 Simple, Efficient, and Neural Algorithms for Sparse Coding COLT 2015 Sparse Solutions to Nonnegative Linear Systems and Applications AISTATS 2015 Towards a Lower Sample Complexity for Robust One-bit Compressed Sensing ICML 2015 A Dual Algorithm for Olfactory Computation in the Locust Brain NeurIPS 2014 Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs AISTATS 2014 Bayesian Inference for Structured Spike and Slab Priors NeurIPS 2014 Compressed Counting Meets Compressed Sensing COLT 2014 Efficient Algorithms for Robust One-bit Compressive Sensing ICML 2014 Finding a sparse vector in a subspace: Linear sparsity using alternating directions NeurIPS 2014 Information-Theoretic Characterization of Sparse Recovery AISTATS 2014 Local Linear Convergence of Forward--Backward under Partial Smoothness NeurIPS 2014 New Algorithms for Learning Incoherent and Overcomplete Dictionaries COLT 2014 On Iterative Hard Thresholding Methods for High-dimensional M-Estimation NeurIPS 2014 Block Regularized Lasso for Multivariate Multi-Response Linear Regression AISTATS 2013