| Federated Data Analytics: A Study on Linear Models | Jun 15, 2022 | Uncertainty QuantificationVariable Selection | —Unverified | 0 |
| Neural interval-censored survival regression with feature selection | Jun 14, 2022 | feature selectionregression | CodeCode Available | 2 |
| Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch | Jun 14, 2022 | BIG-bench Machine LearningCombinatorial Optimization | —Unverified | 0 |
| Robust Knockoffs for Controlling False Discoveries With an Application to Bond Recovery Rates | Jun 13, 2022 | Variable Selection | —Unverified | 0 |
| Sparse-group boosting -- Unbiased group and variable selection | Jun 13, 2022 | Variable Selection | CodeCode Available | 0 |
| Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends! | Jun 10, 2022 | Variable Selection | CodeCode Available | 0 |
| OmicSelector: automatic feature selection and deep learning modeling for omic experiments | Jun 2, 2022 | ClassificationDiagnostic | CodeCode Available | 1 |
| Forward variable selection enables fast and accurate dynamic system identification with Karhunen-Loève decomposed Gaussian processes | May 26, 2022 | Gaussian ProcessesTime Series Analysis | —Unverified | 0 |
| ecpc: An R-package for generic co-data models for high-dimensional prediction | May 16, 2022 | regressionVariable Selection | —Unverified | 0 |
| Determination of class-specific variables in nonparametric multiple-class classification | May 7, 2022 | ClassificationDecision Making | —Unverified | 0 |
| High Dimensional Bayesian Optimization with Kernel Principal Component Analysis | Apr 28, 2022 | Bayesian OptimizationCPU | —Unverified | 0 |
| Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection | Apr 20, 2022 | PredictionVariable Selection | —Unverified | 0 |
| Adaptive Noisy Data Augmentation for Regularized Estimation and Inference in Generalized Linear Models | Apr 18, 2022 | Data AugmentationEnsemble Learning | —Unverified | 0 |
| Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees | Apr 15, 2022 | Variable Selection | —Unverified | 0 |
| 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 |
