| Robust Lasso-Zero for sparse corruption and model selection with missing covariates | May 12, 2020 | Missing ValuesModel Selection | CodeCode Available | 0 |
| Robust Variable Selection and Estimation Via Adaptive Elastic Net S-Estimators for Linear Regression | Jul 7, 2021 | regressionVariable Selection | CodeCode Available | 0 |
| Bayesian Approaches to Shrinkage and Sparse Estimation | Dec 22, 2021 | Bayesian Inferencequantile regression | CodeCode Available | 0 |
| Orthogonal Matching Pursuit for Text Classification | Jul 12, 2018 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Machine learning in policy evaluation: new tools for causal inference | Mar 1, 2019 | BIG-bench Machine LearningCausal Inference | CodeCode Available | 0 |
| A sparse negative binomial mixture model for clustering RNA-seq count data | Dec 5, 2019 | Clusteringfeature selection | CodeCode Available | 0 |
| Bolasso: model consistent Lasso estimation through the bootstrap | Apr 8, 2008 | modelModel Selection | CodeCode Available | 0 |
| Boosting Joint Models for Longitudinal and Time-to-Event Data | Sep 9, 2016 | Variable Selection | CodeCode Available | 0 |
| Outcome-adaptive lasso: variable selection for causal inference | Mar 8, 2017 | Causal InferenceVariable 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 |
