| Can Machine Learning discover the determining factors in participation in insurance schemes? A comparative analysis | Dec 6, 2022 | Variable Selection | —Unverified | 0 | 0 |
| Breaking the Curse of Dimensionality with Convex Neural Networks | Dec 30, 2014 | Variable Selection | —Unverified | 0 | 0 |
| Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning | Jul 26, 2022 | Decision MakingReinforcement Learning (RL) | —Unverified | 0 | 0 |
| A Permutation Approach for Selecting the Penalty Parameter in Penalized Model Selection | Apr 8, 2014 | Model SelectionVariable Selection | —Unverified | 0 | 0 |
| A Graphical Approach to State Variable Selection in Off-policy Learning | Jan 1, 2025 | Causal InferenceDimensionality Reduction | —Unverified | 0 | 0 |
| Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends | Nov 5, 2021 | Variable Selection | —Unverified | 0 | 0 |
| An update on statistical boosting in biomedicine | Feb 27, 2017 | regressionVariable Selection | —Unverified | 0 | 0 |
| Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference | Dec 1, 2010 | Causal Inferenceregression | —Unverified | 0 | 0 |
| A novel nonconvex, smooth-at-origin penalty for statistical learning | Apr 6, 2022 | Variable Selection | —Unverified | 0 | 0 |
| A gradient-based variable selection for binary classification in reproducing kernel Hilbert space | Sep 29, 2021 | Binary ClassificationVariable Selection | —Unverified | 0 | 0 |
