| Accurate Estimation of Quantitative Trait Locus Effects with Epistatic by Improved Variational Linear Regression | Jan 12, 2015 | regressionVariable Selection | —Unverified | 0 |
| bartMachine: Machine Learning with Bayesian Additive Regression Trees | Dec 8, 2013 | BIG-bench Machine LearningDiagnostic | —Unverified | 0 |
| An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection | Oct 28, 2019 | Anomaly DetectionVariable Selection | —Unverified | 0 |
| A network-constrain Weibull AFT model for biomarkers discovery | Feb 28, 2024 | Survival AnalysisVariable Selection | —Unverified | 0 |
| Bayesian Boosting for Linear Mixed Models | Jun 9, 2021 | Bayesian InferenceModel Selection | —Unverified | 0 |
| Bayesian Compressed Regression | Mar 4, 2013 | Dimensionality Reductionregression | —Unverified | 0 |
| A Differentiable Rank-Based Objective For Better Feature Learning | Feb 13, 2025 | FairnessVariable Selection | —Unverified | 0 |
| Bayesian Hybrid Machine Learning of Gallstone Risk | Jun 17, 2025 | Decision MakingHybrid Machine Learning | —Unverified | 0 |
| Bayesian l_0-regularized Least Squares | May 31, 2017 | Computational EfficiencyVariable Selection | —Unverified | 0 |
| Bayesian Models of Functional Connectomics and Behavior | Jan 15, 2023 | Representation LearningVariable Selection | —Unverified | 0 |
| Bayesian Quantile Regression with Subset Selection: A Decision Analysis Perspective | Nov 3, 2023 | Density Estimationquantile regression | —Unverified | 0 |
| Bayesian shrinkage in mixture of experts models: Identifying robust determinants of class membership | Jan 12, 2019 | Bayesian InferenceMixture-of-Experts | —Unverified | 0 |
| Bayesian sparse convex clustering via global-local shrinkage priors | Nov 20, 2019 | ClusteringVariable Selection | —Unverified | 0 |
| Bayesian Sparse Regression for Mixed Multi-Responses with Application to Runtime Metrics Prediction in Fog Manufacturing | Oct 10, 2022 | PredictionUncertainty Quantification | —Unverified | 0 |
| Bayesian subset selection and variable importance for interpretable prediction and classification | Apr 20, 2021 | Data CompressionGeneral Classification | —Unverified | 0 |
| Bayesian Variable Selection for Globally Sparse Probabilistic PCA | May 19, 2016 | Model SelectionVariable Selection | —Unverified | 0 |
| Comparison of Machine Learning Models in Food Authentication Studies | May 17, 2019 | BIG-bench Machine LearningDimensionality Reduction | —Unverified | 0 |
| A Two-Stage Variable Selection Approach for Correlated High Dimensional Predictors | Mar 24, 2021 | ClusteringVariable Selection | —Unverified | 0 |
| Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models | Feb 6, 2024 | Mathematical ReasoningVariable Selection | —Unverified | 0 |
| Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference | Dec 1, 2010 | Causal Inferenceregression | —Unverified | 0 |
| A novel nonconvex, smooth-at-origin penalty for statistical learning | Apr 6, 2022 | Variable Selection | —Unverified | 0 |
| An update on statistical boosting in biomedicine | Feb 27, 2017 | regressionVariable Selection | —Unverified | 0 |
| Branch and Bound in Mixed Integer Linear Programming Problems: A Survey of Techniques and Trends | Nov 5, 2021 | Variable Selection | —Unverified | 0 |
| Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning | Jul 26, 2022 | Decision MakingReinforcement Learning (RL) | —Unverified | 0 |
| Citywide Electric Vehicle Charging Demand Prediction Approach Considering Urban Region and Dynamic Influences | Oct 24, 2024 | Graph AttentionPrediction | —Unverified | 0 |