| Iteratively Reweighted _1-Penalized Robust Regression | Jul 9, 2019 | regressionVariable Selection | CodeCode Available | 0 |
| TreeDQN: Learning to minimize Branch-and-Bound tree | Jun 9, 2023 | Combinatorial Optimizationreinforcement-learning | CodeCode Available | 0 |
| Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex Penalties | Sep 22, 2020 | DenoisingImage Denoising | CodeCode Available | 0 |
| Effect of hyperparameters on variable selection in random forests | Sep 13, 2023 | SensitivityVariable Selection | CodeCode Available | 0 |
| Proximal Iteration for Nonlinear Adaptive Lasso | Dec 7, 2024 | Variable Selection | CodeCode Available | 0 |
| 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 |
| Environment Invariant Linear Least Squares | Mar 6, 2023 | Causal Inferenceregression | CodeCode Available | 0 |
| Instrument variable detection with graph learning : an application to high dimensional GIS-census data for house pricing | Jul 30, 2020 | BIG-bench Machine LearningEconometrics | CodeCode Available | 0 |
| A deep learning pipeline for cross-sectional and longitudinal multiview data integration | Dec 2, 2023 | Data IntegrationVariable Selection | CodeCode Available | 0 |
| Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution | Dec 21, 2017 | Gaussian ProcessesSensitivity | CodeCode Available | 0 |
| Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation | Feb 12, 2021 | regressionVariable Selection | CodeCode Available | 0 |
| Interpretable Classification of Bacterial Raman Spectra with Knockoff Wavelets | Jun 8, 2020 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Evolutionary shift detection with ensemble variable selection | Apr 12, 2022 | Variable Selection | CodeCode Available | 0 |
| AutoScore-Survival: Developing interpretable machine learning-based time-to-event scores with right-censored survival data | Jun 13, 2021 | BIG-bench Machine LearningInterpretable Machine Learning | CodeCode Available | 0 |
| Variational Bayes for high-dimensional proportional hazards models with applications within gene expression | Dec 19, 2021 | Uncertainty QuantificationVariable Selection | CodeCode Available | 0 |
| Exclusive Group Lasso for Structured Variable Selection | Aug 23, 2021 | Variable Selection | CodeCode Available | 0 |