| Correlation scenarios and correlation stress testing | Jul 14, 2021 | Variable Selection | —Unverified | 0 |
| Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear Regression | Jul 7, 2021 | regressionVariable Selection | CodeCode Available | 0 |
| The SKIM-FA Kernel: High-Dimensional Variable Selection and Nonlinear Interaction Discovery in Linear Time | Jun 23, 2021 | Gaussian ProcessesVariable Selection | CodeCode Available | 0 |
| Sparsistent Model Discovery | Jun 22, 2021 | modelModel Discovery | CodeCode Available | 0 |
| Semiparametric count data regression for self-reported mental health | Jun 16, 2021 | Nutritionregression | —Unverified | 0 |
| AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data | Jun 13, 2021 | BIG-bench Machine LearningInterpretable Machine Learning | CodeCode Available | 0 |
| Bayesian Boosting for Linear Mixed Models | Jun 9, 2021 | Bayesian InferenceModel Selection | —Unverified | 0 |
| Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond | Jun 8, 2021 | Variable Selection | —Unverified | 0 |
| A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection | Jun 3, 2021 | Decision MakingDimensionality Reduction | —Unverified | 0 |
| Grouped Variable Selection for Generalized Eigenvalue Problems | May 28, 2021 | Variable Selection | CodeCode Available | 0 |
