Sparse Optimization

Theoretical Linear Convergence of Unfolded ISTA and Its Practical Weights and Thresholds NeurIPS 2018 A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors CVPR 2017 Fast, Sample-Efficient Algorithms for Structured Phase Retrieval NeurIPS 2017 Gradient Boosted Decision Trees for High Dimensional Sparse Output ICML 2017 Hyper-Laplacian Regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising CVPR 2017 k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms NeurIPS 2017 Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting CVPR 2017 On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit ICML 2017 A Sparse Interactive Model for Matrix Completion with Side Information NeurIPS 2016 Consensus of Non-Rigid Reconstructions CVPR 2016 Fast recovery from a union of subspaces NeurIPS 2016 Feature-distributed sparse regression: a screen-and-clean approach NeurIPS 2016 GAP Safe Screening Rules for Sparse-Group Lasso NeurIPS 2016 In Defense of Sparse Tracking: Circulant Sparse Tracker CVPR 2016 Learning brain regions via large-scale online structured sparse dictionary learning NeurIPS 2016 Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization CVPR 2016 Scene Labeling Using Sparse Precision Matrix CVPR 2016 Sparse Support Recovery with Non-smooth Loss Functions NeurIPS 2016 Split LBI: An Iterative Regularization Path with Structural Sparsity NeurIPS 2016 Analysis of Robust PCA via Local Incoherence NeurIPS 2015 Associative Memory via a Sparse Recovery Model NeurIPS 2015 Background Subtraction via Generalized Fused Lasso Foreground Modeling CVPR 2015 b-bit Marginal Regression NeurIPS 2015 Efficient Compressive Phase Retrieval with Constrained Sensing Vectors NeurIPS 2015 Elastic-Net Regularization of Singular Values for Robust Subspace Learning CVPR 2015