Sparse Optimization

Tensor denoising and completion based on ordinal observations ICML 2020 Thunder: a Fast Coordinate Selection Solver for Sparse Learning NeurIPS 2020 A Kernel Random Matrix-Based Approach for Sparse PCA ICLR 2019 A Local Block Coordinate Descent Algorithm for the CSC Model CVPR 2019 Average Case Column Subset Selection for Entrywise ℓ_1-Norm Loss NeurIPS 2019 Binarsity: a penalization for one-hot encoded features in linear supervised learning JMLR 2019 Blended Matching Pursuit NeurIPS 2019 Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering CVPR 2019 Fast Sparse Group Lasso NeurIPS 2019 Implicit Regularization for Optimal Sparse Recovery NeurIPS 2019 Interaction Hard Thresholding: Consistent Sparse Quadratic Regression in Sub-quadratic Time and Space NeurIPS 2019 iSplit LBI: Individualized Partial Ranking with Ties via Split LBI NeurIPS 2019 Learning Sparse Distributions using Iterative Hard Thresholding NeurIPS 2019 On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don’t Worry About its Nonsmooth Loss Function UAI 2019 RES-PCA: A Scalable Approach to Recovering Low-Rank Matrices CVPR 2019 Robust Principal Component Analysis with Adaptive Neighbors NeurIPS 2019 Sharp Restricted Isometry Bounds for the Inexistence of Spurious Local Minima in Nonconvex Matrix Recovery JMLR 2019 SPoD-Net: Fast Recovery of Microscopic Images Using Learned ISTA ACML 2019 Streaming Principal Component Analysis From Incomplete Data JMLR 2019 Superset Technique for Approximate Recovery in One-Bit Compressed Sensing NeurIPS 2019 Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion AAAI 2019 A Constructive Approach to L_0 Penalized Regression JMLR 2018 A convex program for bilinear inversion of sparse vectors NeurIPS 2018 A Hybrid l1-l0 Layer Decomposition Model for Tone Mapping CVPR 2018 An Empirical Evaluation of Sketched SVD and its Application to Leverage Score Ordering ACML 2018