Sparse Optimization

GAP Safe screening rules for sparse multi-task and multi-class models NeurIPS 2015 HONOR: Hybrid Optimization for NOn-convex Regularized problems NeurIPS 2015 Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm NeurIPS 2015 LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements NeurIPS 2015 Learning structured densities via infinite dimensional exponential families NeurIPS 2015 Less is More: Nyström Computational Regularization NeurIPS 2015 Membership Representation for Detecting Block-Diagonal Structure in Low-Rank or Sparse Subspace Clustering CVPR 2015 Nearly Optimal Private LASSO NeurIPS 2015 Non-convex Statistical Optimization for Sparse Tensor Graphical Model NeurIPS 2015 Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso NeurIPS 2015 Robust Manhattan Frame Estimation From a Single RGB-D Image CVPR 2015 Robust Non-Rigid Motion Tracking and Surface Reconstruction Using L0 Regularization ICCV 2015 Robust PCA with compressed data NeurIPS 2015 Robust Regression via Hard Thresholding NeurIPS 2015 SOLD: Sub-Optimal Low-rank Decomposition for Efficient Video Segmentation CVPR 2015 Sparse PCA via Bipartite Matchings NeurIPS 2015 Sparse Projections for High-Dimensional Binary Codes CVPR 2015 Subspace Clustering with Irrelevant Features via Robust Dantzig Selector NeurIPS 2015 Towards a Lower Sample Complexity for Robust One-bit Compressed Sensing ICML 2015 Unified View of Matrix Completion under General Structural Constraints NeurIPS 2015 A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation NeurIPS 2014 Average Case Analysis of High-Dimensional Block-Sparse Recovery and Regression for Arbitrary Designs AISTATS 2014 Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation CVPR 2014 Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification CVPR 2014 Estimation with Norm Regularization NeurIPS 2014