| EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning | Dec 1, 2011 | Sparse LearningVariable Selection | —Unverified | 0 |
| Elastic Net Hypergraph Learning for Image Clustering and Semi-supervised Classification | Mar 3, 2016 | ClusteringGeneral Classification | —Unverified | 0 |
| Elastic Net Procedure for Partially Linear Models | Jul 22, 2015 | Variable Selection | —Unverified | 0 |
| Energy Trees: Regression and Classification With Structured and Mixed-Type Covariates | Jul 10, 2022 | regressionVariable Selection | —Unverified | 0 |
| Enhancing Variable Selection in Large-scale Logistic Regression: Leveraging Manual Labeling with Beneficial Noise | Apr 23, 2025 | Distributed ComputingVariable Selection | —Unverified | 0 |
| Equitability of Dependence Measure | Jan 9, 2015 | Variable Selection | —Unverified | 0 |
| Estimating Conditional Average Treatment Effects via Sufficient Representation Learning | Aug 30, 2024 | Causal InferenceDimensionality Reduction | —Unverified | 0 |
| Estimating high-dimensional Markov-switching VARs | Jul 27, 2021 | Variable SelectionVocal Bursts Intensity Prediction | —Unverified | 0 |
| Estimation and Inference of Treatment Effects with L_2-Boosting in High-Dimensional Settings | Dec 31, 2017 | validVariable Selection | —Unverified | 0 |
| Evaluation of the potential of Near Infrared Hyperspectral Imaging for monitoring the invasive brown marmorated stink bug | Jan 19, 2023 | ManagementScene Classification | —Unverified | 0 |
| Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks | Nov 23, 2023 | Combinatorial OptimizationGraph Attention | —Unverified | 0 |
| Exhaustive search for sparse variable selection in linear regression | Jul 7, 2017 | Astronomyregression | —Unverified | 0 |
| Expectation propagation on the diluted Bayesian classifier | Sep 20, 2020 | Binary Classificationfeature selection | —Unverified | 0 |
| Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning | Sep 30, 2022 | Variable Selection | —Unverified | 0 |
| Explaining the distribution of energy consumption at slow charging infrastructure for electric vehicles from socio-economic data | Jun 2, 2020 | regressionVariable Selection | —Unverified | 0 |
| 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 |