| Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection | Sep 20, 2021 | Bayesian OptimizationVariable Selection | CodeCode Available | 0 |
| Scalable Spike-and-Slab | Apr 4, 2022 | Variable Selection | CodeCode Available | 0 |
| Scalable variable selection for two-view learning tasks with projection operators | Jul 4, 2023 | Variable Selection | CodeCode Available | 0 |
| Adaptive Lasso, Transfer Lasso, and Beyond: An Asymptotic Perspective | Aug 30, 2023 | Variable Selection | CodeCode Available | 0 |
| Sparse quadratic classification rules via linear dimension reduction | Nov 13, 2017 | ClassificationDimensionality Reduction | CodeCode Available | 0 |
| Ab Initio Nonparametric Variable Selection for Scalable Symbolic Regression with Large p | Oct 17, 2024 | Benchmarkingregression | CodeCode Available | 0 |
| Semiparametric discrete data regression with Monte Carlo inference and prediction | Oct 23, 2021 | regressionVariable Selection | CodeCode Available | 0 |
| Sparse Reduced-Rank Regression for Simultaneous Rank and Variable Selection via Manifold Optimization | Oct 11, 2019 | regressionVariable Selection | CodeCode Available | 0 |
| Consistent Sparse Deep Learning: Theory and Computation | Feb 25, 2021 | Deep LearningGeneralization Bounds | CodeCode Available | 0 |
| Granger Causality Testing in High-Dimensional VARs: a Post-Double-Selection Procedure | Feb 28, 2019 | Variable Selection | CodeCode Available | 0 |
| System Identification with Copula Entropy | Apr 23, 2023 | Variable Selection | CodeCode Available | 0 |
| Lazy FSCA for Unsupervised Variable Selection | Mar 3, 2021 | Dimensionality ReductionVariable Selection | CodeCode Available | 0 |
| Modeling High-Dimensional Data with Unknown Cut Points: A Fusion Penalized Logistic Threshold Regression | Feb 17, 2022 | Model Selectionregression | CodeCode Available | 0 |
| BART: Bayesian additive regression trees | Jun 19, 2008 | Causal InferenceDrug Discovery | CodeCode Available | 0 |
| Copula Entropy based Variable Selection for Survival Analysis | Sep 4, 2022 | Survival AnalysisVariable Selection | CodeCode Available | 0 |
| Predictive Analytics of Varieties of Potatoes | Apr 4, 2024 | Binary ClassificationDecision Making | CodeCode Available | 0 |
| Grouped Variable Selection for Generalized Eigenvalue Problems | May 28, 2021 | Variable Selection | CodeCode Available | 0 |
| Covariance and PCA for Categorical Variables | Nov 28, 2007 | Variable Selection | CodeCode Available | 0 |
| Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives | Apr 14, 2021 | Sparse LearningVariable Selection | CodeCode Available | 0 |
| Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net | Sep 25, 2017 | Bayesian Inferenceregression | CodeCode Available | 0 |
| Cross-Validation with Confidence | Mar 23, 2017 | Model SelectionVariable Selection | CodeCode Available | 0 |
| Multimodal Deep Learning for Personalized Renal Cell Carcinoma Prognosis: Integrating CT Imaging and Clinical Data | Jul 7, 2023 | Multimodal Deep LearningPrognosis | CodeCode Available | 0 |
| Sparsifying Bayesian neural networks with latent binary variables and normalizing flows | May 5, 2023 | Machine TranslationVariable Selection | CodeCode Available | 0 |
| Multiple Testing and Variable Selection along the path of the Least Angle Regression | Jun 28, 2019 | Model Selectionregression | CodeCode Available | 0 |
| Handling bounded response in high dimensions: a Horseshoe prior Bayesian Beta regression approach | May 28, 2025 | regressionVariable Selection | CodeCode Available | 0 |