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Sparse Optimization

347 papers

Papers per year

18
25
25
4
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'15
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Papers

Projected Gradient Descent Algorithms for Solving Nonlinear Inverse Problems with Generative Priors IJCAI 2022
Towards An Efficient Approach for the Nonconvex lp Ball Projection: Algorithm and Analysis JMLR 2022
abess: A Fast Best-Subset Selection Library in Python and R JMLR 2022
tntorch: Tensor Network Learning with PyTorch JMLR 2022
Fast Stagewise Sparse Factor Regression JMLR 2022
The Geometry of Uniqueness, Sparsity and Clustering in Penalized Estimation JMLR 2022
Noisy L0-sparse subspace clustering on dimensionality reduced data UAI 2022
Distributed Machine Learning with Sparse Heterogeneous Data NIPS 2021
Support Recovery of Sparse Signals from a Mixture of Linear Measurements NIPS 2021
A Note on Sparse Generalized Eigenvalue Problem NIPS 2021
General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds NIPS 2021
Low-Rank Registration Based Manifolds for Convection-Dominated PDEs AAAI 2021
Approximate Multiplication of Sparse Matrices with Limited Space AAAI 2021
Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation ICCV 2021
Low-Rank Tensor Completion by Approximating the Tensor Average Rank ICCV 2021
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach ICML 2021
Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient ICML 2021
A Nullspace Property for Subspace-Preserving Recovery ICML 2021
Regularized Submodular Maximization at Scale ICML 2021
Homomorphic Sensing: Sparsity and Noise ICML 2021
Inferring serial correlation with dynamic backgrounds ICML 2021
Physics-informed Spline Learning for Nonlinear Dynamics Discovery IJCAI 2021
Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit JMLR 2021
Sparse and Smooth Signal Estimation: Convexification of L0-Formulations JMLR 2021
Soft Tensor Regression JMLR 2021