| Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning | Sep 30, 2022 | Variable Selection | —Unverified | 0 | 0 |
| Expectation propagation on the diluted Bayesian classifier | Sep 20, 2020 | Binary Classificationfeature selection | —Unverified | 0 | 0 |
| Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference | Dec 1, 2010 | Causal Inferenceregression | —Unverified | 0 | 0 |
| A novel nonconvex, smooth-at-origin penalty for statistical learning | Apr 6, 2022 | Variable Selection | —Unverified | 0 | 0 |
| A gradient-based variable selection for binary classification in reproducing kernel Hilbert space | Sep 29, 2021 | Binary ClassificationVariable Selection | —Unverified | 0 | 0 |
| A Comparison of Resampling and Recursive Partitioning Methods in Random Forest for Estimating the Asymptotic Variance Using the Infinitesimal Jackknife | Jun 19, 2017 | Selection biasVariable Selection | —Unverified | 0 | 0 |
| Extending the Use of MDL for High-Dimensional Problems: Variable Selection, Robust Fitting, and Additive Modeling | Jan 26, 2022 | Additive modelsDenoising | —Unverified | 0 | 0 |
| Extensions of stability selection using subsamples of observations and covariates | Jul 18, 2014 | Variable Selection | —Unverified | 0 | 0 |
| Face Attributes as Cues for Deep Face Recognition Understanding | May 14, 2021 | AttributeFace Identification | —Unverified | 0 | 0 |
| ABM: an automatic supervised feature engineering method for loss based models based on group and fused lasso | Sep 22, 2020 | Feature EngineeringVariable Selection | —Unverified | 0 | 0 |
