| Deep Learning: A Bayesian Perspective | Jun 1, 2017 | Deep Learningregression | —Unverified | 0 |
| Bayesian l_0-regularized Least Squares | May 31, 2017 | Computational EfficiencyVariable Selection | —Unverified | 0 |
| A projection pursuit framework for testing general high-dimensional hypothesis | May 2, 2017 | Variable SelectionVocal Bursts Intensity Prediction | —Unverified | 0 |
| Pruning variable selection ensembles | Apr 26, 2017 | DiversityEnsemble Learning | —Unverified | 0 |
| Cross-Validation with Confidence | Mar 23, 2017 | Model SelectionVariable Selection | CodeCode Available | 0 |
| Outcome-adaptive lasso: variable selection for causal inference | Mar 8, 2017 | Causal InferenceVariable Selection | CodeCode Available | 0 |
| Propensity score prediction for electronic healthcare databases using Super Learner and High-dimensional Propensity Score Methods | Mar 7, 2017 | Ensemble LearningPrediction | —Unverified | 0 |
| An update on statistical boosting in biomedicine | Feb 27, 2017 | regressionVariable Selection | —Unverified | 0 |
| Selection of training populations (and other subset selection problems) with an accelerated genetic algorithm (STPGA: An R-package for selection of training populations with a genetic algorithm) | Feb 26, 2017 | regressionVariable Selection | —Unverified | 0 |
| Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation | Feb 21, 2017 | Density Ratio EstimationOutlier Detection | —Unverified | 0 |
| Probing for sparse and fast variable selection with model-based boosting | Feb 15, 2017 | Variable Selection | —Unverified | 0 |
| metboost: Exploratory regression analysis with hierarchically clustered data | Feb 13, 2017 | MathMissing Values | CodeCode Available | 0 |
| Variable selection for clustering with Gaussian mixture models: state of the art | Jan 31, 2017 | ClusteringVariable Selection | —Unverified | 0 |
| Real-time Traffic Accident Risk Prediction based on Frequent Pattern Tree | Jan 20, 2017 | Missing ValuesVariable Selection | —Unverified | 0 |
| MEBoost: Variable Selection in the Presence of Measurement Error | Jan 9, 2017 | NutritionVariable Selection | —Unverified | 0 |
| A general multiblock method for structured variable selection | Oct 29, 2016 | Variable Selection | —Unverified | 0 |
| Robust and Parallel Bayesian Model Selection | Oct 19, 2016 | modelModel Selection | —Unverified | 0 |
| Instrumenting an SMT Solver to Solve Hybrid Network Reachability Problems | Sep 13, 2016 | Variable Selection | —Unverified | 0 |
| An Interactive Segmentation Tool for Quantifying Fat in Lumbar Muscles using Axial Lumbar-Spine MRI | Sep 9, 2016 | Interactive SegmentationVariable Selection | —Unverified | 0 |
| Boosting Joint Models for Longitudinal and Time-to-Event Data | Sep 9, 2016 | Variable Selection | CodeCode Available | 0 |
| A Mathematical Framework for Feature Selection from Real-World Data with Non-Linear Observations | Aug 31, 2016 | feature selectionVariable Selection | —Unverified | 0 |
| The Bayesian SLOPE | Aug 31, 2016 | regressionVariable Selection | —Unverified | 0 |
| Sparse additive Gaussian process with soft interactions | Jul 9, 2016 | regressionVariable Selection | —Unverified | 0 |
| Training Auto-encoders Effectively via Eliminating Task-irrelevant Input Variables | May 31, 2016 | DenoisingVariable Selection | —Unverified | 0 |
| Bayesian Variable Selection for Globally Sparse Probabilistic PCA | May 19, 2016 | Model SelectionVariable Selection | —Unverified | 0 |
