| 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 |
| Face Attributes as Cues for Deep Face Recognition Understanding | May 14, 2021 | AttributeFace Identification | —Unverified | 0 |
| Ordering-Based Causal Discovery with Reinforcement Learning | May 14, 2021 | Causal DiscoveryDecoder | —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 |
| Recovery of Linear Components: Reduced Complexity Autoencoder Designs | Dec 14, 2020 | Dimensionality ReductionVariable Selection | —Unverified | 0 |
| Glucose values prediction five years ahead with a new framework of missing responses in reproducing kernel Hilbert spaces, and the use of continuous glucose monitoring technology | Dec 11, 2020 | Variable Selection | —Unverified | 0 |
| Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery | Dec 1, 2020 | Additive modelsBilevel Optimization | —Unverified | 0 |
| Persistent Reductions in Regularized Loss Minimization for Variable Selection | Nov 30, 2020 | Variable Selection | —Unverified | 0 |
| A Self-Penalizing Objective Function for Scalable Interaction Detection | Nov 24, 2020 | Metric LearningVariable Selection | —Unverified | 0 |
| Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee | Nov 15, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 0 |
| Precision-Recall Curve (PRC) Classification Trees | Nov 15, 2020 | ClassificationFraud Detection | —Unverified | 0 |
| Nonparametric Variable Screening with Optimal Decision Stumps | Nov 5, 2020 | DiagnosticModel Selection | —Unverified | 0 |
| Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model | Nov 2, 2020 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Smoothly Adaptively Centered Ridge Estimator | Oct 31, 2020 | Variable Selection | —Unverified | 0 |
| Post-selection inference with HSIC-Lasso | Oct 29, 2020 | LEMMAVariable Selection | CodeCode Available | 1 |
| Latent Network Estimation and Variable Selection for Compositional Data via Variational EM | Oct 25, 2020 | Variable SelectionVariational Inference | CodeCode Available | 0 |
| Nearly Optimal Variational Inference for High Dimensional Regression with Shrinkage Priors | Oct 24, 2020 | Computational Efficiencyregression | —Unverified | 0 |
| Reversible Jump PDMP Samplers for Variable Selection | Oct 22, 2020 | Variable Selection | CodeCode Available | 0 |
| Flexible mean field variational inference using mixtures of non-overlapping exponential families | Oct 14, 2020 | Variable SelectionVariational Inference | CodeCode Available | 0 |
| The Knowledge Graph for Macroeconomic Analysis with Alternative Big Data | Oct 11, 2020 | Variable Selection | —Unverified | 0 |
| Improving Network Slimming with Nonconvex Regularization | Oct 3, 2020 | compressed sensingimage-classification | CodeCode Available | 0 |
| When to Impute? Imputation before and during cross-validation | Oct 1, 2020 | ImputationMissing Values | CodeCode Available | 0 |
| Dynamic sparsity on dynamic regression models | Sep 29, 2020 | regressionVariable Selection | —Unverified | 0 |
| Selective Cascade of Residual ExtraTrees | Sep 29, 2020 | Predictionregression | —Unverified | 0 |
| The Illusion of the Illusion of Sparsity: An exercise in prior sensitivity | Sep 29, 2020 | SensitivityVariable Selection | CodeCode Available | 0 |
| Accelerated Gradient Methods for Sparse Statistical Learning with Nonconvex Penalties | Sep 22, 2020 | DenoisingImage Denoising | CodeCode Available | 0 |
| ABM: an automatic supervised feature engineering method for loss based models based on group and fused lasso | Sep 22, 2020 | Feature EngineeringVariable Selection | —Unverified | 0 |
| Regularization Approach for Network Modeling of German Power Derivative Market | Sep 21, 2020 | Variable Selection | —Unverified | 0 |
| Expectation propagation on the diluted Bayesian classifier | Sep 20, 2020 | Binary Classificationfeature selection | —Unverified | 0 |