| High-dimensional forecasting with known knowns and known unknowns | Jan 26, 2024 | Decision MakingDecision Making Under Uncertainty | CodeCode Available | 0 |
| Variable Selection and Task Grouping for Multi-Task Learning | Feb 13, 2018 | Multi-Task LearningVariable Selection | CodeCode Available | 0 |
| Detection of evolutionary shifts in variance under an Ornsten-Uhlenbeck model | Dec 29, 2023 | Variable Selection | CodeCode Available | 0 |
| High-dimensional regression in practice: an empirical study of finite-sample prediction, variable selection and ranking | Aug 2, 2018 | regressionVariable Selection | CodeCode Available | 0 |
| Near-optimal multiple testing in Bayesian linear models with finite-sample FDR control | Nov 4, 2022 | Open-Ended Question AnsweringVariable Selection | CodeCode Available | 0 |
| Variable Selection with Copula Entropy | Oct 28, 2019 | Explainable ModelsFeature Importance | CodeCode Available | 0 |
| AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment | Feb 25, 2025 | Multi-Task LearningVariable Selection | CodeCode Available | 0 |
| Variable selection with false discovery rate control in deep neural networks | Sep 17, 2019 | Variable Selection | CodeCode Available | 0 |
| Accurate Dictionary Learning with Direct Sparsity Control | Oct 1, 2018 | Dictionary Learningfeature selection | CodeCode Available | 0 |
| Distributed Multivariate Regression Modeling For Selecting Biomarkers Under Data Protection Constraints | Mar 1, 2018 | regressionVariable Selection | CodeCode Available | 0 |