| Neural interval-censored survival regression with feature selection | Jun 14, 2022 | feature selectionregression | CodeCode Available | 2 | 5 |
| 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 | 5 |
| Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives | Jan 17, 2020 | global-optimizationVariable Selection | CodeCode Available | 1 | 5 |
| Flexible Bayesian Nonlinear Model Configuration | Mar 5, 2020 | Bayesian Inferencemodel | CodeCode Available | 1 | 5 |
| copent: Estimating Copula Entropy and Transfer Entropy in R | May 27, 2020 | BIG-bench Machine LearningCausal Discovery | CodeCode Available | 1 | 5 |
| Bayesian Variable Selection in a Million Dimensions | Aug 2, 2022 | regressionVariable Selection | CodeCode Available | 1 | 5 |
| Learning a Generic Value-Selection Heuristic Inside a Constraint Programming Solver | Jan 5, 2023 | Graph Neural NetworkQ-Learning | CodeCode Available | 1 | 5 |
| Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture | Dec 16, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| SharpSAT-TD in Model Counting Competitions 2021-2023 | Aug 30, 2023 | modelVariable Selection | CodeCode Available | 1 | 5 |
| Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization | Oct 4, 2022 | Bayesian OptimizationMuJoCo | CodeCode Available | 1 | 5 |
| Exact Combinatorial Optimization with Graph Convolutional Neural Networks | Jun 4, 2019 | Combinatorial OptimizationImitation Learning | CodeCode Available | 1 | 5 |
| abess: A Fast Best Subset Selection Library in Python and R | Oct 19, 2021 | Model SelectionSparse Learning | CodeCode Available | 1 | 5 |
| Fast Best Subset Selection: Coordinate Descent and Local Combinatorial Optimization Algorithms | Mar 5, 2018 | Combinatorial OptimizationSparse Learning | CodeCode Available | 1 | 5 |
| Post-selection inference with HSIC-Lasso | Oct 29, 2020 | LEMMAVariable Selection | CodeCode Available | 1 | 5 |
| Fast Bayesian Variable Selection in Binomial and Negative Binomial Regression | Jun 28, 2021 | regressionVariable Selection | CodeCode Available | 1 | 5 |
| Invariant Causal Prediction for Block MDPs | Mar 12, 2020 | Causal InferencePrediction | CodeCode Available | 1 | 5 |
| OmicSelector: automatic feature selection and deep learning modeling for omic experiments | Jun 2, 2022 | ClassificationDiagnostic | CodeCode Available | 1 | 5 |
| Synthesize High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model | Apr 4, 2023 | Language ModelingLanguage Modelling | CodeCode Available | 1 | 5 |
| Evolutionary shift detection with ensemble variable selection | Apr 12, 2022 | Variable Selection | CodeCode Available | 0 | 5 |
| Accuracy and stability of solar variable selection comparison under complicated dependence structures | Jul 30, 2020 | Graph Learningregression | CodeCode Available | 0 | 5 |
| Effect of hyperparameters on variable selection in random forests | Sep 13, 2023 | SensitivityVariable Selection | CodeCode Available | 0 | 5 |
| Distributed Multivariate Regression Modeling For Selecting Biomarkers Under Data Protection Constraints | Mar 1, 2018 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM | Apr 5, 2024 | Deep Learningfeature selection | CodeCode Available | 0 | 5 |
| Cross-Validation with Confidence | Mar 23, 2017 | Model SelectionVariable Selection | CodeCode Available | 0 | 5 |
| Detection of evolutionary shifts in variance under an Ornsten-Uhlenbeck model | Dec 29, 2023 | Variable Selection | CodeCode Available | 0 | 5 |
| AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment | Feb 25, 2025 | Multi-Task LearningVariable Selection | CodeCode Available | 0 | 5 |
| Deep neural networks with controlled variable selection for the identification of putative causal genetic variants | Sep 29, 2021 | Computational Efficiencyfeature selection | CodeCode Available | 0 | 5 |
| Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) data | Jan 17, 2023 | Dimensionality Reductionfeature selection | CodeCode Available | 0 | 5 |
| Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee | Nov 15, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Environment Invariant Linear Least Squares | Mar 6, 2023 | Causal Inferenceregression | CodeCode Available | 0 | 5 |
| DOLDA - a regularized supervised topic model for high-dimensional multi-class regression | Jan 31, 2016 | General ClassificationMulti-class Classification | CodeCode Available | 0 | 5 |
| Exclusive Group Lasso for Structured Variable Selection | Aug 23, 2021 | Variable Selection | CodeCode Available | 0 | 5 |
| Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection | Sep 20, 2021 | Bayesian OptimizationVariable Selection | CodeCode Available | 0 | 5 |
| Combinatorial Bayesian Optimization using the Graph Cartesian Product | Feb 1, 2019 | Bayesian OptimizationNeural Architecture Search | CodeCode Available | 0 | 5 |
| Semiparametric discrete data regression with Monte Carlo inference and prediction | Oct 23, 2021 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| Causal Feature Learning in the Social Sciences | Mar 17, 2025 | Causal InferenceVariable Selection | CodeCode Available | 0 | 5 |
| An Expectation Conditional Maximization approach for Gaussian graphical models | Sep 20, 2017 | Variable Selection | CodeCode Available | 0 | 5 |
| Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large p | Oct 17, 2024 | Benchmarkingregression | CodeCode Available | 0 | 5 |
| A Splicing Approach to Best Subset of Groups Selection | Apr 23, 2021 | Variable Selection | CodeCode Available | 0 | 5 |
| Consistent Sparse Deep Learning: Theory and Computation | Feb 25, 2021 | Deep LearningGeneralization Bounds | CodeCode Available | 0 | 5 |
| Bolasso: model consistent Lasso estimation through the bootstrap | Apr 8, 2008 | modelModel Selection | CodeCode Available | 0 | 5 |
| Boosting Joint Models for Longitudinal and Time-to-Event Data | Sep 9, 2016 | Variable Selection | CodeCode Available | 0 | 5 |
| Characterizing the SLOPE Trade-off: A Variational Perspective and the Donoho-Tanner Limit | May 27, 2021 | Variable Selection | CodeCode Available | 0 | 5 |
| Co-data Learning for Bayesian Additive Regression Trees | Nov 16, 2023 | PredictionPrognosis | CodeCode Available | 0 | 5 |
| Comorbid anxiety predicts lower odds of depression improvement during smartphone-delivered psychotherapy | Sep 16, 2024 | Interpretable Machine LearningVariable Selection | CodeCode Available | 0 | 5 |
| BART: Bayesian additive regression trees | Jun 19, 2008 | Causal InferenceDrug Discovery | CodeCode Available | 0 | 5 |
| Copula Entropy based Variable Selection for Survival Analysis | Sep 4, 2022 | Survival AnalysisVariable Selection | CodeCode Available | 0 | 5 |
| Covariance and PCA for Categorical Variables | Nov 28, 2007 | Variable Selection | CodeCode Available | 0 | 5 |
| Deep Knockoffs | Nov 16, 2018 | Variable Selection | CodeCode Available | 0 | 5 |
| A deep learning pipeline for cross-sectional and longitudinal multiview data integration | Dec 2, 2023 | Data IntegrationVariable Selection | CodeCode Available | 0 | 5 |
