| An Automatic Relevance Determination Prior Bayesian Neural Network for Controlled Variable Selection | Jan 6, 2020 | Feature ImportanceVariable Selection | —Unverified | 0 |
| Confounder Selection via Support Intersection | Dec 25, 2019 | Variable Selection | —Unverified | 0 |
| MM for Penalized Estimation | Dec 23, 2019 | parameter estimationVariable Selection | —Unverified | 0 |
| MM Algorithms for Distance Covariance based Sufficient Dimension Reduction and Sufficient Variable Selection | Dec 13, 2019 | Dimensionality ReductionVariable Selection | —Unverified | 0 |
| Deep Variable-Block Chain with Adaptive Variable Selection | Dec 7, 2019 | Variable Selection | —Unverified | 0 |
| Asymptotic Unbiasedness of the Permutation Importance Measure in Random Forest Models | Dec 5, 2019 | Econometricsregression | —Unverified | 0 |
| A sparse negative binomial mixture model for clustering RNA-seq count data | Dec 5, 2019 | Clusteringfeature selection | CodeCode Available | 0 |
| Variable Selection with Rigorous Uncertainty Quantification using Deep Bayesian Neural Networks: Posterior Concentration and Bernstein-von Mises Phenomenon | Dec 3, 2019 | Uncertainty QuantificationVariable Selection | —Unverified | 0 |
| Learning Local Search Heuristics for Boolean Satisfiability | Dec 1, 2019 | Deep Reinforcement LearningGraph Neural Network | CodeCode Available | 0 |
| Stable Learning via Sample Reweighting | Nov 28, 2019 | parameter estimationVariable Selection | —Unverified | 0 |
