| LASSO-Driven Inference in Time and Space | May 15, 2020 | Variable Selection | —Unverified | 0 |
| Robust Lasso-Zero for sparse corruption and model selection with missing covariates | May 12, 2020 | Missing ValuesModel Selection | CodeCode Available | 0 |
| Interpretable random forest models through forward variable selection | May 11, 2020 | Variable Selection | —Unverified | 0 |
| Flexible co-data learning for high-dimensional prediction | May 8, 2020 | PredictionVariable Selection | —Unverified | 0 |
| A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data | May 5, 2020 | Decision MakingVariable Selection | CodeCode Available | 0 |
| Semi-analytic approximate stability selection for correlated data in generalized linear models | Mar 19, 2020 | Variable Selection | —Unverified | 0 |
| Hyperspectral-Multispectral Image Fusion with Weighted LASSO | Mar 15, 2020 | AstronomySpecificity | —Unverified | 0 |
| Invariant Causal Prediction for Block MDPs | Mar 12, 2020 | Causal InferencePrediction | CodeCode Available | 1 |
| Flexible Bayesian Nonlinear Model Configuration | Mar 5, 2020 | Bayesian Inferencemodel | CodeCode Available | 1 |
| A comparison of different types of Niching Genetic Algorithms for variable selection in solar radiation estimation | Feb 14, 2020 | Evolutionary AlgorithmsVariable Selection | —Unverified | 0 |
| Extended Stochastic Gradient MCMC for Large-Scale Bayesian Variable Selection | Feb 7, 2020 | Variable Selection | CodeCode Available | 0 |
| Robust Boosting for Regression Problems | Feb 6, 2020 | regressionVariable Selection | CodeCode Available | 0 |
| Two-part hidden Markov models for semicontinuous longitudinal data with nonignorable missing covariates | Jan 31, 2020 | Variable Selection | —Unverified | 0 |
| The Reciprocal Bayesian LASSO | Jan 23, 2020 | Bayesian InferenceModel Selection | CodeCode Available | 0 |
| Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives | Jan 17, 2020 | global-optimizationVariable Selection | CodeCode Available | 1 |
| 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 |
