| A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms | Apr 12, 2022 | Uncertainty QuantificationVariable Selection | CodeCode Available | 0 |
| Evolutionary shift detection with ensemble variable selection | Apr 12, 2022 | Variable Selection | CodeCode Available | 0 |
| A novel nonconvex, smooth-at-origin penalty for statistical learning | Apr 6, 2022 | Variable Selection | —Unverified | 0 |
| Scalable Spike-and-Slab | Apr 4, 2022 | Variable Selection | CodeCode Available | 0 |
| Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems | Mar 27, 2022 | BIG-bench Machine LearningInterpretable Machine Learning | —Unverified | 0 |
| GAM(L)A: An econometric model for interpretable Machine Learning | Mar 17, 2022 | BIG-bench Machine LearningInterpretable Machine Learning | —Unverified | 0 |
| Detecting and Diagnosing Terrestrial Gravitational-Wave Mimics Through Feature Learning | Mar 9, 2022 | Variable Selection | —Unverified | 0 |
| Variable Selection with the Knockoffs: Composite Null Hypotheses | Mar 6, 2022 | Variable Selection | —Unverified | 0 |
| Missing Value Knockoffs | Feb 26, 2022 | ImputationMissing Values | —Unverified | 0 |
| Flexible variable selection in the presence of missing data | Feb 25, 2022 | ImputationVariable Selection | CodeCode Available | 0 |
| Scalable Gaussian-process regression and variable selection using Vecchia approximations | Feb 25, 2022 | regressionVariable Selection | CodeCode Available | 0 |
| Modeling High-Dimensional Data with Unknown Cut Points: A Fusion Penalized Logistic Threshold Regression | Feb 17, 2022 | Model Selectionregression | CodeCode Available | 0 |
| AutoScore-Ordinal: An interpretable machine learning framework for generating scoring models for ordinal outcomes | Feb 17, 2022 | Decision MakingInterpretable Machine Learning | CodeCode Available | 0 |
| Inference of Multiscale Gaussian Graphical Model | Feb 11, 2022 | Clusteringmodel | —Unverified | 0 |
| Yordle: An Efficient Imitation Learning for Branch and Bound | Feb 2, 2022 | BIG-bench Machine LearningCombinatorial Optimization | —Unverified | 0 |
| VC-PCR: A Prediction Method based on Supervised Variable Selection and Clustering | Feb 2, 2022 | ClusteringPrediction | —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 |
| Bayesian Approaches to Shrinkage and Sparse Estimation | Dec 22, 2021 | Bayesian Inferencequantile regression | CodeCode Available | 0 |
| Regularized Multivariate Analysis Framework for Interpretable High-Dimensional Variable Selection | Dec 22, 2021 | Variable SelectionVocal Bursts Intensity Prediction | —Unverified | 0 |
| Variational Bayes for high-dimensional proportional hazards models with applications within gene expression | Dec 19, 2021 | Uncertainty QuantificationVariable Selection | CodeCode Available | 0 |
| Supervised Multivariate Learning with Simultaneous Feature Auto-grouping and Dimension Reduction | Dec 17, 2021 | Dimensionality ReductionVariable Selection | —Unverified | 0 |
| Variable Selection and Regularization via Arbitrary Rectangle-range Generalized Elastic Net | Dec 14, 2021 | Variable Selection | CodeCode Available | 0 |
| Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms | Nov 30, 2021 | regressionVariable Selection | —Unverified | 0 |
| A Fast Non-parametric Approach for Local Causal Structure Learning | Nov 29, 2021 | Variable Selection | —Unverified | 0 |
| Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes | Nov 8, 2021 | Gaussian ProcessesVariable Selection | CodeCode Available | 0 |