Sparse Optimization

Efficient Structured Matrix Rank Minimization NeurIPS 2014 Exclusive Feature Learning on Arbitrary Structures via ℓ_1,2-norm NeurIPS 2014 Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning NeurIPS 2014 Finding a sparse vector in a subspace: Linear sparsity using alternating directions NeurIPS 2014 Generalized Dantzig Selector: Application to the k-support norm NeurIPS 2014 Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit NeurIPS 2014 Lower Bounds on the Performance of Polynomial-time Algorithms for Sparse Linear Regression COLT 2014 Multi-Step Stochastic ADMM in High Dimensions: Applications to Sparse Optimization and Matrix Decomposition NeurIPS 2014 New Algorithms for Learning Incoherent and Overcomplete Dictionaries COLT 2014 Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD CVPR 2014 On Iterative Hard Thresholding Methods for High-dimensional M-Estimation NeurIPS 2014 On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection ICML 2014 Recovery of Coherent Data via Low-Rank Dictionary Pursuit NeurIPS 2014 Robust Orthonormal Subspace Learning: Efficient Recovery of Corrupted Low-rank Matrices CVPR 2014 Robust Surface Reconstruction via Triple Sparsity CVPR 2014 Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices NeurIPS 2014 SCAMS: Simultaneous Clustering and Model Selection CVPR 2014 Sparse PCA via Covariance Thresholding NeurIPS 2014 Sparse PCA with Oracle Property NeurIPS 2014 Sparse Polynomial Learning and Graph Sketching NeurIPS 2014 Sparse Space-Time Deconvolution for Calcium Image Analysis NeurIPS 2014 Sparsity and the Truncated l^2-norm AISTATS 2014 Tighten after Relax: Minimax-Optimal Sparse PCA in Polynomial Time NeurIPS 2014 Total Variation Blind Deconvolution: The Devil is in the Details CVPR 2014 Zeta Hull Pursuits: Learning Nonconvex Data Hulls NeurIPS 2014