| Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning | Dec 1, 2008 | Variable Selection | —Unverified | 0 |
| Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning | Sep 9, 2008 | Variable Selection | —Unverified | 0 |
| Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling | Jan 26, 2022 | Additive modelsDenoising | —Unverified | 0 |
| Extensions of stability selection using subsamples of observations and covariates | Jul 18, 2014 | Variable Selection | —Unverified | 0 |
| Face Attributes as Cues for Deep Face Recognition Understanding | May 14, 2021 | AttributeFace Identification | —Unverified | 0 |
| Faithful Variable Screening for High-Dimensional Convex Regression | Nov 7, 2014 | Additive modelsregression | —Unverified | 0 |
| False Discovery Rate Control for Gaussian Graphical Models via Neighborhood Screening | Jan 18, 2024 | Graph LearningVariable Selection | —Unverified | 0 |
| False Discovery Rate Control via Debiased Lasso | Mar 12, 2018 | Variable Selection | —Unverified | 0 |
| Fast, Optimal, and Targeted Predictions using Parametrized Decision Analysis | Jun 23, 2020 | Decision MakingDecision Making Under Uncertainty | —Unverified | 0 |
| fastHDMI: Fast Mutual Information Estimation for High-Dimensional Data | Oct 14, 2024 | Computational EfficiencyMutual Information Estimation | —Unverified | 0 |
