| Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond | Jun 8, 2021 | Variable Selection | —Unverified | 0 |
| A Subspace-based Approach for Dimensionality Reduction and Important Variable Selection | Jun 3, 2021 | Decision MakingDimensionality Reduction | —Unverified | 0 |
| Grouped Variable Selection for Generalized Eigenvalue Problems | May 28, 2021 | Variable Selection | CodeCode Available | 0 |
| Characterizing the SLOPE Trade-off: A Variational Perspective and the Donoho-Tanner Limit | May 27, 2021 | Variable Selection | CodeCode Available | 0 |
| Deep Multistage Multi-Task Learning for Quality Prediction of Multistage Manufacturing Systems | May 17, 2021 | Multi-Task LearningVariable Selection | —Unverified | 0 |
| Ordering-Based Causal Discovery with Reinforcement Learning | May 14, 2021 | Causal DiscoveryDecoder | —Unverified | 0 |
| Face Attributes as Cues for Deep Face Recognition Understanding | May 14, 2021 | AttributeFace Identification | —Unverified | 0 |
| A Splicing Approach to Best Subset of Groups Selection | Apr 23, 2021 | Variable Selection | CodeCode Available | 0 |
| Bayesian subset selection and variable importance for interpretable prediction and classification | Apr 20, 2021 | Data CompressionGeneral Classification | —Unverified | 0 |
| Grouped Variable Selection with Discrete Optimization: Computational and Statistical Perspectives | Apr 14, 2021 | Sparse LearningVariable Selection | CodeCode Available | 0 |
| Parallel integrative learning for large-scale multi-response regression with incomplete outcomes | Apr 11, 2021 | Multi-Task Learningregression | —Unverified | 0 |
| Variable selection with missing data in both covariates and outcomes: Imputation and machine learning | Apr 6, 2021 | BIG-bench Machine LearningImputation | CodeCode Available | 0 |
| A Two-Stage Variable Selection Approach for Correlated High Dimensional Predictors | Mar 24, 2021 | ClusteringVariable Selection | —Unverified | 0 |
| Lazy FSCA for Unsupervised Variable Selection | Mar 3, 2021 | Dimensionality ReductionVariable Selection | CodeCode Available | 0 |
| MDA for random forests: inconsistency, and a practical solution via the Sobol-MDA | Feb 26, 2021 | Variable Selection | —Unverified | 0 |
| Consistent Sparse Deep Learning: Theory and Computation | Feb 25, 2021 | Deep LearningGeneralization Bounds | CodeCode Available | 0 |
| Sparse online variational Bayesian regression | Feb 24, 2021 | Bayesian Inferenceregression | CodeCode Available | 0 |
| Risk factor identification for incident heart failure using neural network distillation and variable selection | Feb 17, 2021 | Decision MakingVariable Selection | —Unverified | 0 |
| Shrinkage Bayesian Causal Forests for Heterogeneous Treatment Effects Estimation | Feb 12, 2021 | regressionVariable Selection | CodeCode Available | 0 |
| Unobserved classes and extra variables in high-dimensional discriminant analysis | Feb 3, 2021 | ClassificationGeneral Classification | —Unverified | 0 |
| Counterfactual Generation with Knockoffs | Feb 1, 2021 | counterfactualVariable Selection | —Unverified | 0 |
| Predictive Quantile Regression with Mixed Roots and Increasing Dimensions: The ALQR Approach | Jan 27, 2021 | Model Selectionquantile regression | —Unverified | 0 |
| Statistical Methods for cis-Mendelian Randomization with Two-sample Summary-level Data | Jan 11, 2021 | Variable Selection | —Unverified | 0 |
| On the Management of Type 1 Diabetes Mellitus with IoT Devices and ML Techniques | Jan 7, 2021 | BIG-bench Machine LearningCloud Computing | —Unverified | 0 |
| Solving Mixed Integer Programs Using Neural Networks | Dec 23, 2020 | Variable Selection | —Unverified | 0 |