| Variable Selection and Regularization via Arbitrary Rectangle-range Generalized Elastic Net | Dec 14, 2021 | Variable Selection | CodeCode Available | 0 |
| Flexible variable selection in the presence of missing data | Feb 25, 2022 | ImputationVariable Selection | CodeCode Available | 0 |
| Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends! | Jun 10, 2022 | Variable Selection | CodeCode Available | 0 |
| Causal Feature Learning in the Social Sciences | Mar 17, 2025 | Causal InferenceVariable Selection | CodeCode Available | 0 |
| Sparse online variational Bayesian regression | Feb 24, 2021 | Bayesian Inferenceregression | CodeCode Available | 0 |
| Scalable Gaussian-process regression and variable selection using Vecchia approximations | Feb 25, 2022 | regressionVariable Selection | CodeCode Available | 0 |
| A Splicing Approach to Best Subset of Groups Selection | Apr 23, 2021 | Variable Selection | CodeCode Available | 0 |
| FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated Features | Jun 17, 2020 | ClusteringComputational Efficiency | CodeCode Available | 0 |
| Characterizing the SLOPE Trade-off: A Variational Perspective and the Donoho-Tanner Limit | May 27, 2021 | Variable Selection | CodeCode Available | 0 |
| Scalable Importance Tempering and Bayesian Variable Selection | May 1, 2018 | Variable Selection | CodeCode Available | 0 |
