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| Double Machine Learning and Automated Confounder Selection -- A Cautionary Tale | Aug 25, 2021 | BIG-bench Machine LearningModel Selection | —Unverified | 0 |
| Bayesian Compressed Regression | Mar 4, 2013 | Dimensionality Reductionregression | —Unverified | 0 |
| Dynamic sparsity on dynamic regression models | Sep 29, 2020 | regressionVariable Selection | —Unverified | 0 |
| Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing | Sep 13, 2019 | Decision MakingFeature Engineering | —Unverified | 0 |
| Economic Forecasts Using Many Noises | Dec 9, 2023 | Dimensionality ReductionVariable Selection | —Unverified | 0 |
| ecpc: An R-package for generic co-data models for high-dimensional prediction | May 16, 2022 | regressionVariable Selection | —Unverified | 0 |
| Bayesian Hybrid Machine Learning of Gallstone Risk | Jun 17, 2025 | Decision MakingHybrid Machine Learning | —Unverified | 0 |
| Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms | Nov 30, 2021 | regressionVariable Selection | —Unverified | 0 |
| A Multi-objective Exploratory Procedure for Regression Model Selection | Mar 28, 2012 | Decision MakingModel Selection | —Unverified | 0 |
