| Estimation and Inference of Treatment Effects with L_2-Boosting in High-Dimensional Settings | Dec 31, 2017 | validVariable Selection | —Unverified | 0 | 0 |
| Generalized Sparse Additive Model with Unknown Link Function | Oct 8, 2024 | Additive modelsBilevel Optimization | —Unverified | 0 | 0 |
| Global sensitivity analysis for optimization with variable selection | Nov 12, 2018 | SensitivityVariable Selection | —Unverified | 0 | 0 |
| Glucose values prediction five years ahead with a new framework of missing responses in reproducing kernel Hilbert spaces, and the use of continuous glucose monitoring technology | Dec 11, 2020 | Variable Selection | —Unverified | 0 | 0 |
| Gradient-based kernel method for feature extraction and variable selection | Dec 1, 2012 | Dimensionality ReductionVariable Selection | —Unverified | 0 | 0 |
| Gradient Boosting for Spatial Regression Models with Autoregressive Disturbances | Jun 16, 2025 | Model Selectionregression | —Unverified | 0 | 0 |
| Estimating high-dimensional Markov-switching VARs | Jul 27, 2021 | Variable SelectionVocal Bursts Intensity Prediction | —Unverified | 0 | 0 |
| Greedy Active Learning Algorithm for Logistic Regression Models | Feb 1, 2018 | Active LearningBinary Classification | —Unverified | 0 | 0 |
| Bayesian Variable Selection for Globally Sparse Probabilistic PCA | May 19, 2016 | Model SelectionVariable Selection | —Unverified | 0 | 0 |
| A Note on Coding and Standardization of Categorical Variables in (Sparse) Group Lasso Regression | May 17, 2018 | regressionVariable Selection | —Unverified | 0 | 0 |
