| Efficient Regularized Regression for Variable Selection with L0 Penalty | Jul 28, 2014 | regressionVariable Selection | —Unverified | 0 | 0 |
| EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning | Dec 1, 2011 | Sparse LearningVariable Selection | —Unverified | 0 | 0 |
| Elastic Net Hypergraph Learning for Image Clustering and Semi-supervised Classification | Mar 3, 2016 | ClusteringGeneral Classification | —Unverified | 0 | 0 |
| Elastic Net Procedure for Partially Linear Models | Jul 22, 2015 | Variable Selection | —Unverified | 0 | 0 |
| Energy Trees: Regression and Classification With Structured and Mixed-Type Covariates | Jul 10, 2022 | regressionVariable Selection | —Unverified | 0 | 0 |
| Enhancing Variable Selection in Large-scale Logistic Regression: Leveraging Manual Labeling with Beneficial Noise | Apr 23, 2025 | Distributed ComputingVariable Selection | —Unverified | 0 | 0 |
| Equitability of Dependence Measure | Jan 9, 2015 | Variable Selection | —Unverified | 0 | 0 |
| Estimating Conditional Average Treatment Effects via Sufficient Representation Learning | Aug 30, 2024 | Causal InferenceDimensionality Reduction | —Unverified | 0 | 0 |
| Estimating high-dimensional Markov-switching VARs | Jul 27, 2021 | Variable SelectionVocal Bursts Intensity Prediction | —Unverified | 0 | 0 |
| Estimation and Inference of Treatment Effects with L_2-Boosting in High-Dimensional Settings | Dec 31, 2017 | validVariable Selection | —Unverified | 0 | 0 |
