| Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input | Feb 23, 2025 | regressionVariable Selection | —Unverified | 0 |
| Variational empirical Bayes variable selection in high-dimensional logistic regression | Feb 14, 2025 | regressionVariable Selection | —Unverified | 0 |
| A Differentiable Rank-Based Objective For Better Feature Learning | Feb 13, 2025 | FairnessVariable Selection | —Unverified | 0 |
| Practically Effective Adjustment Variable Selection in Causal Inference | Feb 4, 2025 | Causal InferenceVariable Selection | —Unverified | 0 |
| Heteroscedastic Double Bayesian Elastic Net | Feb 4, 2025 | regressionVariable Selection | —Unverified | 0 |
| Consistent support recovery for high-dimensional diffusions | Jan 28, 2025 | Variable Selection | —Unverified | 0 |
| Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection | Jan 28, 2025 | regressionVariable Selection | —Unverified | 0 |
| Improved joint modelling of breast cancer radiomics features and hazard by image registration aided longitudinal CT data | Jan 12, 2025 | Image RegistrationLesion Detection | —Unverified | 0 |
| Variable Selection Methods for Multivariate, Functional, and Complex Biomedical Data in the AI Age | Jan 12, 2025 | Additive modelsregression | —Unverified | 0 |
| Mathematics of Digital Twins and Transfer Learning for PDE Models | Jan 11, 2025 | One-Shot LearningTransfer Learning | —Unverified | 0 |
