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Sparse Optimization

416 papers

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Papers

Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms ICML 2023 Few-Shot Non-Line-of-Sight Imaging With Signal-Surface Collaborative Regularization CVPR 2023 Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization JMLR 2023 Global Identifiability of ℓ_1-based Dictionary Learning via Matrix Volume Optimization NeurIPS 2023 MARS: A Second-Order Reduction Algorithm for High-Dimensional Sparse Precision Matrices Estimation JMLR 2023 Mixed Linear Regression via Approximate Message Passing AISTATS 2023 Near-Optimal Weighted Matrix Completion JMLR 2023 On the Optimality of Nuclear-norm-based Matrix Completion for Problems with Smooth Non-linear Structure JMLR 2023 Semantic Similarity Covariance Matrix Shrinkage EMNLP 2023 Semi-Random Sparse Recovery in Nearly-Linear Time COLT 2023 Sparse GCA and Thresholded Gradient Descent JMLR 2023 Sparse PCA Beyond Covariance Thresholding COLT 2023 Stochastic Mirror Descent for Large-Scale Sparse Recovery AISTATS 2023 The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time JMLR 2023 abess: A Fast Best-Subset Selection Library in Python and R JMLR 2022 Anisotropic Additive Quantization for Fast Inner Product Search AAAI 2022 Fast Algorithm for Low-Rank Tensor Completion in Delay-Embedded Space CVPR 2022 Fast Stagewise Sparse Factor Regression JMLR 2022 Iterative Hard Thresholding with Adaptive Regularization: Sparser Solutions Without Sacrificing Runtime ICML 2022 Learning the Structure of Large Networked Systems Obeying Conservation Laws NeurIPS 2022 Noisy L0-sparse subspace clustering on dimensionality reduced data UAI 2022 On the Effectiveness of Persistent Homology NeurIPS 2022 Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors IJCAI 2022 Reverse Engineering ℓ_p attacks: A block-sparse optimization approach with recovery guarantees ICML 2022 The Geometry of Uniqueness, Sparsity and Clustering in Penalized Estimation JMLR 2022