| Sparse Additive Model using Symmetric Nonnegative Definite Smoothers | Sep 8, 2014 | modelVariable Selection | —Unverified | 0 | 0 |
| Sparse Bayesian State-Space and Time-Varying Parameter Models | Jul 25, 2022 | regressionTime Series | —Unverified | 0 | 0 |
| Sparse Bayesian Unsupervised Learning | Jan 30, 2014 | ClusteringVariable Selection | —Unverified | 0 | 0 |
| Sparse Deep Learning for Time Series Data: Theory and Applications | Oct 5, 2023 | Deep LearningModel Compression | —Unverified | 0 | 0 |
| Sparse deep neural networks for nonparametric estimation in high-dimensional sparse regression | Jun 26, 2024 | parameter estimationregression | —Unverified | 0 | 0 |
| Sparse Gaussian Graphical Models with Discrete Optimization: Computational and Statistical Perspectives | Jul 18, 2023 | Variable Selection | —Unverified | 0 | 0 |
| Sparse high-dimensional linear mixed modeling with a partitioned empirical Bayes ECM algorithm | Oct 18, 2023 | Variable Selection | —Unverified | 0 | 0 |
| Sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm | Sep 16, 2022 | Prediction Intervalsregression | —Unverified | 0 | 0 |
| Sparse inference of the drift of a high-dimensional Ornstein-Uhlenbeck process | Jul 10, 2017 | Variable Selection | —Unverified | 0 | 0 |
| Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines | Dec 17, 2023 | Ensemble LearningSparse Learning | —Unverified | 0 | 0 |
