Sparse Optimization

Geometric Conditions for Subspace-Sparse Recovery ICML 2015 HONOR: Hybrid Optimization for NOn-convex Regularized problems NeurIPS 2015 Hyperspectral Compressive Sensing Using Manifold-Structured Sparsity Prior ICCV 2015 Local Identification of Overcomplete Dictionaries JMLR 2015 Membership Representation for Detecting Block-Diagonal Structure in Low-Rank or Sparse Subspace Clustering CVPR 2015 Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection NeurIPS 2015 Network Granger Causality with Inherent Grouping Structure JMLR 2015 Piecewise Flat Embedding for Image Segmentation ICCV 2015 Reweighted Laplace Prior Based Hyperspectral Compressive Sensing for Unknown Sparsity CVPR 2015 Self Scaled Regularized Robust Regression CVPR 2015 Simultaneous Pursuit of Sparseness and Rank Structures for Matrix Decomposition JMLR 2015 Sparse and Low-Rank Tensor Decomposition NeurIPS 2015 Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent NeurIPS 2015 Sparse Submodular Probabilistic PCA AISTATS 2015 Structured Estimation with Atomic Norms: General Bounds and Applications NeurIPS 2015 Structured Sparse Subspace Clustering: A Unified Optimization Framework CVPR 2015 Swept Approximate Message Passing for Sparse Estimation ICML 2015 Theory of Dual-sparse Regularized Randomized Reduction ICML 2015 A Dual Algorithm for Olfactory Computation in the Locust Brain NeurIPS 2014 A Safe Screening Rule for Sparse Logistic Regression NeurIPS 2014 Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs AISTATS 2014 Compressive Sensing of Signals from a GMM with Sparse Precision Matrices NeurIPS 2014 Deblurring Text Images via L0-Regularized Intensity and Gradient Prior CVPR 2014 Efficient Algorithms for Robust One-bit Compressive Sensing ICML 2014 Efficient Sampling for Learning Sparse Additive Models in High Dimensions NeurIPS 2014