Sparse Optimization

An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning AAAI 2020 An Efficient Low-Rank Tensors Representation for Algorithms in Complex Probabilistic Graphical Models PGM 2020 A Sparse Semismooth Newton Based Proximal Majorization-Minimization Algorithm for Nonconvex Square-Root-Loss Regression Problems JMLR 2020 Comb Decoding towards Collision-Free WiFi NSDI 2020 Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group JMLR 2020 DNU: Deep Non-Local Unrolling for Computational Spectral Imaging CVPR 2020 Dual Iterative Hard Thresholding JMLR 2020 Error Estimation for Sketched SVD via the Bootstrap ICML 2020 GLAD: Learning Sparse Graph Recovery ICLR 2020 High-dimensional Gaussian graphical models on network-linked data JMLR 2020 High-dimensional quantile tensor regression JMLR 2020 How many samples is a good initial point worth in Low-rank Matrix Recovery? NeurIPS 2020 Image denoising via K-SVD with primal-dual active set algorithm WACV 2020 Learning Algebraic Multigrid Using Graph Neural Networks ICML 2020 Learning Some Popular Gaussian Graphical Models without Condition Number Bounds NeurIPS 2020 Nearly Non-Expansive Bounds for Mahalanobis Hard Thresholding COLT 2020 Nonlinear System Identification via Tensor Completion AAAI 2020 One-Bit Compressed Sensing via One-Shot Hard Thresholding UAI 2020 On the Power of Compressed Sensing with Generative Models ICML 2020 Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree NeurIPS 2020 Pursuit of Low-Rank Models of Time-Varying Matrices Robust to Sparse and Measurement Noise AAAI 2020 Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables IJCAI 2020 Revisiting Frank-Wolfe for Polytopes: Strict Complementarity and Sparsity NeurIPS 2020 Robust Low-Rank Discovery of Data-Driven Partial Differential Equations AAAI 2020 Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms AAAI 2020