| VICatMix: variational Bayesian clustering and variable selection for discrete biomedical data | Jun 23, 2024 | ClusteringVariable Selection | CodeCode Available | 0 | 5 |
| Distributed Multivariate Regression Modeling For Selecting Biomarkers Under Data Protection Constraints | Mar 1, 2018 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| Copula Entropy based Variable Selection for Survival Analysis | Sep 4, 2022 | Survival AnalysisVariable Selection | CodeCode Available | 0 | 5 |
| DOLDA - a regularized supervised topic model for high-dimensional multi-class regression | Jan 31, 2016 | General ClassificationMulti-class Classification | CodeCode Available | 0 | 5 |
| Detection of evolutionary shifts in variance under an Ornsten-Uhlenbeck model | Dec 29, 2023 | Variable Selection | CodeCode Available | 0 | 5 |
| Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable Selection | Jan 29, 2023 | validVariable Selection | CodeCode Available | 0 | 5 |
| Covariance and PCA for Categorical Variables | Nov 28, 2007 | Variable Selection | CodeCode Available | 0 | 5 |
| Importance of spatial predictor variable selection in machine learning applications -- Moving from data reproduction to spatial prediction | Aug 21, 2019 | Variable Selection | CodeCode Available | 0 | 5 |
| Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee | Nov 15, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) data | Jan 17, 2023 | Dimensionality Reductionfeature selection | CodeCode Available | 0 | 5 |
| Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net | Sep 25, 2017 | Bayesian Inferenceregression | CodeCode Available | 0 | 5 |
| Grouped Variable Selection for Generalized Eigenvalue Problems | May 28, 2021 | Variable Selection | CodeCode Available | 0 | 5 |
| Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes | Nov 8, 2021 | Gaussian ProcessesVariable Selection | CodeCode Available | 0 | 5 |
| Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective | Aug 30, 2023 | Variable Selection | CodeCode Available | 0 | 5 |
| INVASE: Instance-wise Variable Selection using Neural Networks | May 1, 2019 | feature selectionVariable Selection | CodeCode Available | 0 | 5 |
| Flexible variable selection in the presence of missing data | Feb 25, 2022 | ImputationVariable Selection | CodeCode Available | 0 | 5 |
| Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends! | Jun 10, 2022 | Variable Selection | CodeCode Available | 0 | 5 |
| Reversible Jump PDMP Samplers for Variable Selection | Oct 22, 2020 | Variable Selection | CodeCode Available | 0 | 5 |
| Deep Knockoffs | Nov 16, 2018 | Variable Selection | CodeCode Available | 0 | 5 |
| Handling bounded response in high dimensions: a Horseshoe prior Bayesian Beta regression approach | May 28, 2025 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| Controlling false discoveries in high-dimensional situations: Boosting with stability selection | Nov 5, 2014 | Variable SelectionVocal Bursts Intensity Prediction | —Unverified | 0 | 0 |
| Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant | Oct 5, 2021 | Variable Selection | —Unverified | 0 | 0 |
| A Survey of Numerical Algorithms that can Solve the Lasso Problems | Mar 7, 2023 | regressionVariable Selection | —Unverified | 0 | 0 |
| Consistent support recovery for high-dimensional diffusions | Jan 28, 2025 | Variable Selection | —Unverified | 0 | 0 |
| A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection | Jun 3, 2021 | Decision MakingDimensionality Reduction | —Unverified | 0 | 0 |
