sparse optimization

Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling ICML 2016 Sparse Coding for Third-Order Super-Symmetric Tensor Descriptors With Application to Texture Recognition CVPR 2016 Subspace Clustering With Priors via Sparse Quadratically Constrained Quadratic Programming CVPR 2016 Background Subtraction via Generalized Fused Lasso Foreground Modeling CVPR 2015 Blitz: A Principled Meta-Algorithm for Scaling Sparse Optimization ICML 2015 \ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods ICML 2015 GAP Safe screening rules for sparse multi-task and multi-class models NeurIPS 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 Multi-view Sparse Co-clustering via Proximal Alternating Linearized Minimization ICML 2015 Network Granger Causality with Inherent Grouping Structure JMLR 2015 Pan-Sharpening With a Hyper-Laplacian Penalty ICCV 2015 Reweighted Laplace Prior Based Hyperspectral Compressive Sensing for Unknown Sparsity CVPR 2015 Self Scaled Regularized Robust Regression CVPR 2015 Sparse and Low-Rank Tensor Decomposition NeurIPS 2015 Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent NeurIPS 2015 Structured Estimation with Atomic Norms: General Bounds and Applications NeurIPS 2015 Subspace Clustering with Irrelevant Features via Robust Dantzig Selector NeurIPS 2015 An Adaptive Accelerated Proximal Gradient Method and its Homotopy Continuation for Sparse Optimization ICML 2014 An Online Sparsity-Cognizant Loop-Closure Algorithm for Visual Navigation RSS 2014 Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm ICML 2014 Estimation with Norm Regularization NeurIPS 2014 Exclusive Feature Learning on Arbitrary Structures via ℓ_1,2-norm NeurIPS 2014 Generalized Dantzig Selector: Application to the k-support norm NeurIPS 2014 Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NeurIPS 2014