| Don't Fall for Tuning Parameters: Tuning-Free Variable Selection in High Dimensions With the TREX | Apr 2, 2014 | Computational EfficiencyVariable Selection | —Unverified | 0 | 0 |
| Double Machine Learning and Automated Confounder Selection -- A Cautionary Tale | Aug 25, 2021 | BIG-bench Machine LearningModel Selection | —Unverified | 0 | 0 |
| Dynamic sparsity on dynamic regression models | Sep 29, 2020 | regressionVariable Selection | —Unverified | 0 | 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 | 0 |
| Economic Forecasts Using Many Noises | Dec 9, 2023 | Dimensionality ReductionVariable Selection | —Unverified | 0 | 0 |
| ecpc: An R-package for generic co-data models for high-dimensional prediction | May 16, 2022 | regressionVariable Selection | —Unverified | 0 | 0 |
| Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms | Nov 30, 2021 | regressionVariable Selection | —Unverified | 0 | 0 |
| Efficient Clustering of Correlated Variables and Variable Selection in High-Dimensional Linear Models | Mar 11, 2016 | ClusteringVariable Selection | —Unverified | 0 | 0 |
| Efficient hinging hyperplanes neural network and its application in nonlinear system identification | May 15, 2019 | regressionVariable Selection | —Unverified | 0 | 0 |
| Efficient Regularized Piecewise-Linear Regression Trees | Jun 29, 2019 | GPUregression | —Unverified | 0 | 0 |
