| A machine learning framework for neighbor generation in metaheuristic search | Dec 22, 2022 | Combinatorial OptimizationVariable Selection | —Unverified | 0 |
| Multi-Task Learning for Sparsity Pattern Heterogeneity: Statistical and Computational Perspectives | Dec 16, 2022 | Multi-Task LearningVariable Selection | CodeCode Available | 0 |
| Applications of Machine Learning for the Ratemaking in Agricultural Insurances | Dec 6, 2022 | Variable Selection | —Unverified | 0 |
| Can Machine Learning discover the determining factors in participation in insurance schemes? A comparative analysis | Dec 6, 2022 | Variable Selection | —Unverified | 0 |
| Stable Learning via Sparse Variable Independence | Dec 2, 2022 | Variable Selection | —Unverified | 0 |
| Transfer learning for tensor Gaussian graphical models | Nov 17, 2022 | Functional ConnectivityOpen-Ended Question Answering | —Unverified | 0 |
| Variable selection for nonlinear Cox regression model via deep learning | Nov 17, 2022 | Deep Learningregression | —Unverified | 0 |
| The Best Path Algorithm automatic variables selection via High Dimensional Graphical Models | Nov 14, 2022 | Variable Selection | —Unverified | 0 |
| RFFNet: Large-Scale Interpretable Kernel Methods via Random Fourier Features | Nov 11, 2022 | Stochastic OptimizationVariable Selection | CodeCode Available | 0 |
| Online Linearized LASSO | Nov 11, 2022 | regressionVariable Selection | —Unverified | 0 |
| Near-optimal multiple testing in Bayesian linear models with finite-sample FDR control | Nov 4, 2022 | Open-Ended Question AnsweringVariable Selection | CodeCode Available | 0 |
| Improving the Predictive Performances of k Nearest Neighbors Learning by Efficient Variable Selection | Nov 4, 2022 | regressionVariable 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 |
| Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization | Oct 4, 2022 | Bayesian OptimizationMuJoCo | CodeCode Available | 1 |
| Experts in the Loop: Conditional Variable Selection for Accelerating Post-Silicon Analysis Based on Deep Learning | Sep 30, 2022 | Variable Selection | —Unverified | 0 |
| Sparse high-dimensional linear regression with a partitioned empirical Bayes ECM algorithm | Sep 16, 2022 | Prediction Intervalsregression | —Unverified | 0 |
| Copula Entropy based Variable Selection for Survival Analysis | Sep 4, 2022 | Survival AnalysisVariable Selection | CodeCode Available | 0 |
| Two-Stage Robust and Sparse Distributed Statistical Inference for Large-Scale Data | Aug 17, 2022 | Model SelectionVariable Selection | —Unverified | 0 |
| Bayesian Variable Selection in a Million Dimensions | Aug 2, 2022 | regressionVariable Selection | CodeCode Available | 1 |
| Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning | Jul 26, 2022 | Decision MakingReinforcement Learning (RL) | —Unverified | 0 |
| Sparse Bayesian State-Space and Time-Varying Parameter Models | Jul 25, 2022 | regressionTime Series | —Unverified | 0 |
| Energy Trees: Regression and Classification With Structured and Mixed-Type Covariates | Jul 10, 2022 | regressionVariable Selection | —Unverified | 0 |
| A Statistical-Modelling Approach to Feedforward Neural Network Model Selection | Jul 9, 2022 | Model SelectionVariable Selection | —Unverified | 0 |
| Conditional Variable Selection for Intelligent Test | Jul 1, 2022 | Variable Selection | —Unverified | 0 |
| Lookback for Learning to Branch | Jun 30, 2022 | Model SelectionVariable Selection | —Unverified | 0 |
| Federated Data Analytics: A Study on Linear Models | Jun 15, 2022 | Uncertainty QuantificationVariable Selection | —Unverified | 0 |
| Neural interval-censored survival regression with feature selection | Jun 14, 2022 | feature selectionregression | CodeCode Available | 2 |
| Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch | Jun 14, 2022 | BIG-bench Machine LearningCombinatorial Optimization | —Unverified | 0 |
| Robust Knockoffs for Controlling False Discoveries With an Application to Bond Recovery Rates | Jun 13, 2022 | Variable Selection | —Unverified | 0 |
| Sparse-group boosting -- Unbiased group and variable selection | Jun 13, 2022 | Variable Selection | CodeCode Available | 0 |
| Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends! | Jun 10, 2022 | Variable Selection | CodeCode Available | 0 |
| OmicSelector: automatic feature selection and deep learning modeling for omic experiments | Jun 2, 2022 | ClassificationDiagnostic | CodeCode Available | 1 |
| Forward variable selection enables fast and accurate dynamic system identification with Karhunen-Loève decomposed Gaussian processes | May 26, 2022 | Gaussian ProcessesTime Series Analysis | —Unverified | 0 |
| ecpc: An R-package for generic co-data models for high-dimensional prediction | May 16, 2022 | regressionVariable Selection | —Unverified | 0 |
| Determination of class-specific variables in nonparametric multiple-class classification | May 7, 2022 | ClassificationDecision Making | —Unverified | 0 |
| High Dimensional Bayesian Optimization with Kernel Principal Component Analysis | Apr 28, 2022 | Bayesian OptimizationCPU | —Unverified | 0 |
| Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection | Apr 20, 2022 | PredictionVariable Selection | —Unverified | 0 |
| Adaptive Noisy Data Augmentation for Regularized Estimation and Inference in Generalized Linear Models | Apr 18, 2022 | Data AugmentationEnsemble Learning | —Unverified | 0 |
| Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees | Apr 15, 2022 | Variable Selection | —Unverified | 0 |
| 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 |
| Evolutionary shift detection with ensemble variable selection | Apr 12, 2022 | Variable Selection | CodeCode Available | 0 |
| A novel nonconvex, smooth-at-origin penalty for statistical learning | Apr 6, 2022 | Variable Selection | —Unverified | 0 |
| Scalable Spike-and-Slab | Apr 4, 2022 | Variable Selection | CodeCode Available | 0 |
| Interpretable Machine Learning Models for Modal Split Prediction in Transportation Systems | Mar 27, 2022 | BIG-bench Machine LearningInterpretable Machine Learning | —Unverified | 0 |
| GAM(L)A: An econometric model for interpretable Machine Learning | Mar 17, 2022 | BIG-bench Machine LearningInterpretable Machine Learning | —Unverified | 0 |
| Detecting and Diagnosing Terrestrial Gravitational-Wave Mimics Through Feature Learning | Mar 9, 2022 | Variable Selection | —Unverified | 0 |
| Variable Selection with the Knockoffs: Composite Null Hypotheses | Mar 6, 2022 | Variable Selection | —Unverified | 0 |
| Missing Value Knockoffs | Feb 26, 2022 | ImputationMissing Values | —Unverified | 0 |
| Flexible variable selection in the presence of missing data | Feb 25, 2022 | ImputationVariable Selection | CodeCode Available | 0 |
| Scalable Gaussian-process regression and variable selection using Vecchia approximations | Feb 25, 2022 | regressionVariable Selection | CodeCode Available | 0 |