Sparse Optimization

A Tight Bound of Hard Thresholding JMLR 2018 DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding ICML 2018 Efficient, Sparse Representation of Manifold Distance Matrices for Classical Scaling CVPR 2018 Estimation of Graphical Models through Structured Norm Minimization JMLR 2018 Fast Cross-Validation IJCAI 2018 Fast greedy algorithms for dictionary selection with generalized sparsity constraints NeurIPS 2018 Fast Similarity Search via Optimal Sparse Lifting NeurIPS 2018 Gradient Estimation with Simultaneous Perturbation and Compressive Sensing JMLR 2018 Gradient Hard Thresholding Pursuit JMLR 2018 Learning without the Phase: Regularized PhaseMax Achieves Optimal Sample Complexity NeurIPS 2018 Local Identifiability of ℓ_1-minimization Dictionary Learning: a Sufficient and Almost Necessary Condition JMLR 2018 Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch NeurIPS 2018 MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval NeurIPS 2018 Nonlinear Structured Signal Estimation in High Dimensions via Iterative Hard Thresholding AISTATS 2018 Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration CVPR 2018 Nonoverlap-Promoting Variable Selection ICML 2018 Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit ICML 2018 Simple Classification Using Binary Data JMLR 2018 Sketching for Kronecker Product Regression and P-splines AISTATS 2018 Subsampling for Ridge Regression via Regularized Volume Sampling AISTATS 2018 The Generalization Error of Dictionary Learning with Moreau Envelopes ICML 2018 Unsupervised Heterogeneous Domain Adaptation with Sparse Feature Transformation ACML 2018 Wavelet regression and additive models for irregularly spaced data NeurIPS 2018 WHInter: A Working set algorithm for High-dimensional sparse second order Interaction models ICML 2018 Alternating minimization for dictionary learning with random initialization NeurIPS 2017