| Nonconvex Sparse Learning via Stochastic Optimization with Progressive Variance Reduction | May 9, 2016 | parameter estimationSparse Learning | —Unverified | 0 | 0 |
| Nonparametric Greedy Algorithms for the Sparse Learning Problem | Dec 1, 2009 | Additive modelsregression | —Unverified | 0 | 0 |
| Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels | Dec 1, 2011 | Generalization BoundsSparse Learning | —Unverified | 0 | 0 |
| Nonparametric Sparse Online Learning of the Koopman Operator | Jan 27, 2025 | Sparse Learning | —Unverified | 0 | 0 |
| Nonsparse learning with latent variables | Oct 7, 2017 | Model SelectionSparse Learning | —Unverified | 0 | 0 |
| Online Unsupervised Multi-view Feature Selection | Sep 27, 2016 | Clusteringfeature selection | —Unverified | 0 | 0 |
| On Newton Screening | Jan 27, 2020 | Sparse Learning | —Unverified | 0 | 0 |
| On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning | Dec 1, 2017 | Sparse Learning | —Unverified | 0 | 0 |
| On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions | Jun 19, 2017 | Sparse Learning | —Unverified | 0 | 0 |
| On the exact recovery of sparse signals via conic relaxations | Mar 15, 2016 | Sparse LearningVariable Selection | —Unverified | 0 | 0 |
| On The Projection Operator to A Three-view Cardinality Constrained Set | Mar 21, 2017 | compressed sensingfeature selection | —Unverified | 0 | 0 |
| Optimizing Hard Thresholding for Sparse Model Discovery | Apr 28, 2025 | Dictionary Learningmodel | —Unverified | 0 | 0 |
| Parametric Maxflows for Structured Sparse Learning with Convex Relaxations of Submodular Functions | Sep 14, 2015 | Sparse Learning | —Unverified | 0 | 0 |
| Parametric Simplex Method for Sparse Learning | Dec 1, 2017 | Sparse Learning | —Unverified | 0 | 0 |
| Partial Occlusion Handling for Visual Tracking via Robust Part Matching | Jun 1, 2014 | Occlusion HandlingSparse Learning | —Unverified | 0 | 0 |
| Pathwise Coordinate Optimization for Sparse Learning: Algorithm and Theory | Dec 23, 2014 | parameter estimationSparse Learning | —Unverified | 0 | 0 |
| Proximal SCOPE for Distributed Sparse Learning: Better Data Partition Implies Faster Convergence Rate | Mar 15, 2018 | Sparse Learning | —Unverified | 0 | 0 |
| Proximal SCOPE for Distributed Sparse Learning | Dec 1, 2018 | Sparse Learning | —Unverified | 0 | 0 |
| Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning | Nov 20, 2024 | Sparse Learning | —Unverified | 0 | 0 |
| Quasi-potential and drift decomposition in stochastic systems by sparse identification | Sep 10, 2024 | Sparse Learning | —Unverified | 0 | 0 |
| Bayesian data-driven discovery of partial differential equations with variable coefficients | Feb 2, 2021 | Bayesian InferenceModel Selection | —Unverified | 0 | 0 |
| SAFARI: Sparsity enabled Federated Learning with Limited and Unreliable Communications | Apr 5, 2022 | Federated LearningSparse Learning | —Unverified | 0 | 0 |
| Safe Active Feature Selection for Sparse Learning | Jun 15, 2018 | feature selectionSparse Learning | —Unverified | 0 | 0 |
| Safe and Efficient Screening For Sparse Support Vector Machine | Oct 30, 2013 | Sparse Learning | —Unverified | 0 | 0 |
| Safe Element Screening for Submodular Function Minimization | May 22, 2018 | Combinatorial OptimizationSparse Learning | —Unverified | 0 | 0 |