| A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data | May 5, 2020 | Decision MakingVariable Selection | CodeCode Available | 0 | 5 |
| Scalable Spike-and-Slab | Apr 4, 2022 | Variable Selection | CodeCode Available | 0 | 5 |
| Causal Feature Learning in the Social Sciences | Mar 17, 2025 | Causal InferenceVariable Selection | CodeCode Available | 0 | 5 |
| Lazy FSCA for Unsupervised Variable Selection | Mar 3, 2021 | Dimensionality ReductionVariable Selection | CodeCode Available | 0 | 5 |
| Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation | Feb 12, 2021 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| A Splicing Approach to Best Subset of Groups Selection | Apr 23, 2021 | 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 |
| Characterizing the SLOPE Trade-off: A Variational Perspective and the Donoho-Tanner Limit | May 27, 2021 | Variable Selection | CodeCode Available | 0 | 5 |
| Sparse Reduced-Rank Regression for Simultaneous Rank and Variable Selection via Manifold Optimization | Oct 11, 2019 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| Co-data Learning for Bayesian Additive Regression Trees | Nov 16, 2023 | PredictionPrognosis | CodeCode Available | 0 | 5 |
| Combinatorial Bayesian Optimization using the Graph Cartesian Product | Feb 1, 2019 | Bayesian OptimizationNeural Architecture Search | 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 |
| Environment Invariant Linear Least Squares | Mar 6, 2023 | Causal Inferenceregression | CodeCode Available | 0 | 5 |
| Structured nonlinear variable selection | May 16, 2018 | Additive modelsVariable Selection | CodeCode Available | 0 | 5 |
| Effect of hyperparameters on variable selection in random forests | Sep 13, 2023 | SensitivityVariable Selection | CodeCode Available | 0 | 5 |
| The Illusion of the Illusion of Sparsity: An exercise in prior sensitivity | Sep 29, 2020 | SensitivityVariable Selection | CodeCode Available | 0 | 5 |
| Evolutionary shift detection with ensemble variable selection | Apr 12, 2022 | Variable Selection | CodeCode Available | 0 | 5 |
| A fully Bayesian sparse polynomial chaos expansion approach with joint priors on the coefficients and global selection of terms | Apr 12, 2022 | Uncertainty QuantificationVariable Selection | CodeCode Available | 0 | 5 |
| A sparse negative binomial mixture model for clustering RNA-seq count data | Dec 5, 2019 | Clusteringfeature selection | CodeCode Available | 0 | 5 |
| Two-step penalised logistic regression for multi-omic data with an application to cardiometabolic syndrome | Aug 1, 2020 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| Semiparametric discrete data regression with Monte Carlo inference and prediction | Oct 23, 2021 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| Variable Prioritization in Nonlinear Black Box Methods: A Genetic Association Case Study | Jan 22, 2018 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| Consistent Sparse Deep Learning: Theory and Computation | Feb 25, 2021 | Deep LearningGeneralization Bounds | CodeCode Available | 0 | 5 |
| Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution | Dec 21, 2017 | Gaussian ProcessesSensitivity | CodeCode Available | 0 | 5 |
| Variable Selection with Copula Entropy | Oct 28, 2019 | Explainable ModelsFeature Importance | CodeCode Available | 0 | 5 |
| Variable selection with false discovery rate control in deep neural networks | Sep 17, 2019 | Variable 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 |
| Copula Entropy based Variable Selection for Survival Analysis | Sep 4, 2022 | Survival AnalysisVariable Selection | 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 |
| Detection of evolutionary shifts in variance under an Ornsten-Uhlenbeck model | Dec 29, 2023 | Variable Selection | CodeCode Available | 0 | 5 |
| Asymptotic Inference for Multi-Stage Stationary Treatment Policy with Variable Selection | Jan 29, 2023 | validVariable Selection | CodeCode Available | 0 | 5 |
| Covariance and PCA for Categorical Variables | Nov 28, 2007 | Variable Selection | CodeCode Available | 0 | 5 |
| Importance of spatial predictor variable selection in machine learning applications -- Moving from data reproduction to spatial prediction | Aug 21, 2019 | Variable 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 |
| 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 |
| Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net | Sep 25, 2017 | Bayesian Inferenceregression | CodeCode Available | 0 | 5 |
| Grouped Variable Selection for Generalized Eigenvalue Problems | May 28, 2021 | Variable Selection | CodeCode Available | 0 | 5 |
| Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes | Nov 8, 2021 | Gaussian ProcessesVariable Selection | CodeCode Available | 0 | 5 |
| Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective | Aug 30, 2023 | Variable Selection | CodeCode Available | 0 | 5 |
| INVASE: Instance-wise Variable Selection using Neural Networks | May 1, 2019 | feature selectionVariable Selection | CodeCode Available | 0 | 5 |
| Flexible variable selection in the presence of missing data | Feb 25, 2022 | ImputationVariable Selection | CodeCode Available | 0 | 5 |
| Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends! | Jun 10, 2022 | Variable Selection | CodeCode Available | 0 | 5 |
| Predictive Analytics of Varieties of Potatoes | Apr 4, 2024 | Binary ClassificationDecision Making | CodeCode Available | 0 | 5 |
| Deep Knockoffs | Nov 16, 2018 | Variable Selection | CodeCode Available | 0 | 5 |
| Handling bounded response in high dimensions: a Horseshoe prior Bayesian Beta regression approach | May 28, 2025 | 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 |
| High-dimensional forecasting with known knowns and known unknowns | Jan 26, 2024 | Decision MakingDecision Making Under Uncertainty | 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 |
| Controlling false discoveries in high-dimensional situations: Boosting with stability selection | Nov 5, 2014 | Variable SelectionVocal Bursts Intensity Prediction | —Unverified | 0 | 0 |
| Controlled-Variable Selection based on Chaos Theory for the Tennessee Eastman Plant | Oct 5, 2021 | Variable Selection | —Unverified | 0 | 0 |
