| Neural interval-censored survival regression with feature selection | Jun 14, 2022 | feature selectionregression | CodeCode Available | 2 |
| SharpSAT-TD in Model Counting Competitions 2021-2023 | Aug 30, 2023 | modelVariable Selection | CodeCode Available | 1 |
| Synthesize High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model | Apr 4, 2023 | Language ModelingLanguage Modelling | CodeCode Available | 1 |
| Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver | Jan 5, 2023 | Graph Neural NetworkQ-Learning | CodeCode Available | 1 |
| Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization | Oct 4, 2022 | Bayesian OptimizationMuJoCo | CodeCode Available | 1 |
| Bayesian Variable Selection in a Million Dimensions | Aug 2, 2022 | regressionVariable Selection | CodeCode Available | 1 |
| OmicSelector: automatic feature selection and deep learning modeling for omic experiments | Jun 2, 2022 | ClassificationDiagnostic | CodeCode Available | 1 |
| A novel interpretable machine learning system to generate clinical risk scores: An application for predicting early mortality or unplanned readmission in a retrospective cohort study | Jan 10, 2022 | BIG-bench Machine LearningDecision Making | CodeCode Available | 1 |
| Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture | Dec 16, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| abess: A Fast Best Subset Selection Library in Python and R | Oct 19, 2021 | Model SelectionSparse Learning | CodeCode Available | 1 |
| Fast Bayesian Variable Selection in Binomial and Negative Binomial Regression | Jun 28, 2021 | regressionVariable Selection | CodeCode Available | 1 |
| Post-selection inference with HSIC-Lasso | Oct 29, 2020 | LEMMAVariable Selection | CodeCode Available | 1 |
| copent: Estimating Copula Entropy and Transfer Entropy in R | May 27, 2020 | BIG-bench Machine LearningCausal Discovery | CodeCode Available | 1 |
| Invariant Causal Prediction for Block MDPs | Mar 12, 2020 | Causal InferencePrediction | CodeCode Available | 1 |
| Flexible Bayesian Nonlinear Model Configuration | Mar 5, 2020 | Bayesian Inferencemodel | CodeCode Available | 1 |
| Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives | Jan 17, 2020 | global-optimizationVariable Selection | CodeCode Available | 1 |
| Exact Combinatorial Optimization with Graph Convolutional Neural Networks | Jun 4, 2019 | Combinatorial OptimizationImitation Learning | CodeCode Available | 1 |
| Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms | Mar 5, 2018 | Combinatorial OptimizationSparse Learning | CodeCode Available | 1 |
| Heterogeneous Exposures to Systematic and Idiosyncratic Risk across Crypto Assets: A Divide-and-Conquer Approach | Jun 26, 2025 | Variable Selection | —Unverified | 0 |
| On the ability of Deep Neural Networks to Learn Granger Causality in Multi-Variate Time Series Data | Jun 25, 2025 | Time SeriesVariable Selection | —Unverified | 0 |
| Bayesian Hybrid Machine Learning of Gallstone Risk | Jun 17, 2025 | Decision MakingHybrid Machine Learning | —Unverified | 0 |
| Gradient Boosting for Spatial Regression Models with Autoregressive Disturbances | Jun 16, 2025 | Model Selectionregression | —Unverified | 0 |
| On feature selection in double-imbalanced data settings: a Random Forest approach | Jun 12, 2025 | feature selectionVariable Selection | —Unverified | 0 |
| Knockoffs Inference under Privacy Constraints | Jun 11, 2025 | Variable Selection | —Unverified | 0 |
| Handling bounded response in high dimensions: a Horseshoe prior Bayesian Beta regression approach | May 28, 2025 | regressionVariable Selection | CodeCode Available | 0 |
