| Variable Selection in High Dimensional Linear Regressions with Parameter Instability | Dec 24, 2023 | Variable Selection | CodeCode Available | 0 |
| Improving SAT Solvers via Blocked Clause Decomposition | Apr 2, 2016 | Variable Selection | CodeCode Available | 0 |
| Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors | Jun 22, 2020 | Bayesian Inferenceregression | CodeCode Available | 0 |
| Inference for High Dimensional Censored Quantile Regression | Jul 22, 2021 | Epidemiologyquantile regression | CodeCode Available | 0 |
| Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee | Nov 15, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| Variable selection with missing data in both covariates and outcomes: Imputation and machine learning | Apr 6, 2021 | BIG-bench Machine LearningImputation | CodeCode Available | 0 |
| Two-step penalised logistic regression for multi-omic data with an application to cardiometabolic syndrome | Aug 1, 2020 | regressionVariable Selection | CodeCode Available | 0 |
| The Illusion of the Illusion of Sparsity: An exercise in prior sensitivity | Sep 29, 2020 | SensitivityVariable Selection | CodeCode Available | 0 |
| Information-Theoretic State Variable Selection for Reinforcement Learning | Jan 21, 2024 | Decision Makingfeature selection | CodeCode Available | 0 |
| Non-stationary Gaussian process discriminant analysis with variable selection for high-dimensional functional data | Sep 29, 2021 | feature selectionUncertainty Quantification | CodeCode Available | 0 |
