| A Pipeline for Variable Selection and False Discovery Rate Control With an Application in Labor Economics | Jun 23, 2020 | Variable Selection | —Unverified | 0 |
| APPLE: Approximate Path for Penalized Likelihood Estimators | Nov 2, 2012 | parameter estimationVariable Selection | —Unverified | 0 |
| Applications of Machine Learning for the Ratemaking in Agricultural Insurances | Dec 6, 2022 | Variable Selection | —Unverified | 0 |
| A Primal-Dual Algorithm for Group Sparse Regularization with Overlapping Groups | Dec 1, 2010 | Variable Selection | —Unverified | 0 |
| A projection pursuit framework for testing general high-dimensional hypothesis | May 2, 2017 | Variable SelectionVocal Bursts Intensity Prediction | —Unverified | 0 |
| A Rank Minrelation - Majrelation Coefficient | May 9, 2013 | Variable Selection | —Unverified | 0 |
| A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition | Aug 16, 2011 | Time SeriesTime Series Analysis | —Unverified | 0 |
| A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval | Jan 6, 2025 | In-Context LearningSensor Modeling | —Unverified | 0 |
| A machine learning framework for neighbor generation in metaheuristic search | Dec 22, 2022 | Combinatorial OptimizationVariable Selection | —Unverified | 0 |
| A Statistical-Modelling Approach to Feedforward Neural Network Model Selection | Jul 9, 2022 | Model SelectionVariable Selection | —Unverified | 0 |
| A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection | Jun 3, 2021 | Decision MakingDimensionality Reduction | —Unverified | 0 |
| A Survey of Numerical Algorithms that can Solve the Lasso Problems | Mar 7, 2023 | regressionVariable Selection | —Unverified | 0 |
| Conditional independence testing with a single realization of a multivariate nonstationary nonlinear time series | Apr 30, 2025 | Causal DiscoveryTime Series | —Unverified | 0 |
| Conditional Variable Selection for Intelligent Test | Jul 1, 2022 | Variable Selection | —Unverified | 0 |
| CFD-Based Quantification of Hemodynamic Variables in Cerebral Aneurysms: How Hemodynamics Shape Aneurysm Fate | May 5, 2025 | Variable Selection | —Unverified | 0 |
| CAVIAR: Categorical-Variable Embeddings for Accurate and Robust Inference | Apr 7, 2024 | Causal InferenceDimensionality Reduction | —Unverified | 0 |
| Closed-form Estimators for High-dimensional Generalized Linear Models | Dec 1, 2015 | FormVariable Selection | —Unverified | 0 |
| Adaptive Noisy Data Augmentation for Regularized Estimation and Inference in Generalized Linear Models | Apr 18, 2022 | Data AugmentationEnsemble Learning | —Unverified | 0 |
| A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random | May 25, 2025 | ClusteringComputational Efficiency | —Unverified | 0 |
| A Unified Framework for Sparse Relaxed Regularized Regression: SR3 | Jul 14, 2018 | compressed sensingComputational Efficiency | —Unverified | 0 |
| An Efficient ADMM-Based Algorithm to Nonconvex Penalized Support Vector Machines | Sep 11, 2018 | General ClassificationVariable Selection | —Unverified | 0 |
| Causal nearest neighbor rules for optimal treatment regimes | Nov 22, 2017 | Causal InferenceVariable Selection | —Unverified | 0 |
| Automatic Identification of Twin Zygosity in Resting-State Functional MRI | Jun 30, 2018 | Variable Selection | —Unverified | 0 |
| An Efficient Augmented Lagrangian Based Method for Constrained Lasso | Mar 12, 2019 | BIG-bench Machine Learningregression | —Unverified | 0 |
| An Efficient Shapley Value Computation for the Naive Bayes Classifier | Jul 31, 2023 | Variable Selection | —Unverified | 0 |
| 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 |