| 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 |
| Variable Selection and Regularization via Arbitrary Rectangle-range Generalized Elastic Net | Dec 14, 2021 | Variable Selection | CodeCode Available | 0 |
| Flexible variable selection in the presence of missing data | Feb 25, 2022 | ImputationVariable Selection | CodeCode Available | 0 |
| Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends! | Jun 10, 2022 | Variable Selection | CodeCode Available | 0 |
| Causal Feature Learning in the Social Sciences | Mar 17, 2025 | Causal InferenceVariable Selection | CodeCode Available | 0 |
| Sparse online variational Bayesian regression | Feb 24, 2021 | Bayesian Inferenceregression | CodeCode Available | 0 |
| Scalable Gaussian-process regression and variable selection using Vecchia approximations | Feb 25, 2022 | regressionVariable Selection | CodeCode Available | 0 |
| A Splicing Approach to Best Subset of Groups Selection | Apr 23, 2021 | Variable Selection | CodeCode Available | 0 |
| FREEtree: A Tree-based Approach for High Dimensional Longitudinal Data With Correlated Features | Jun 17, 2020 | ClusteringComputational Efficiency | CodeCode Available | 0 |
| Characterizing the SLOPE Trade-off: A Variational Perspective and the Donoho-Tanner Limit | May 27, 2021 | Variable Selection | CodeCode Available | 0 |
| Scalable Importance Tempering and Bayesian Variable Selection | May 1, 2018 | Variable Selection | CodeCode Available | 0 |
| Co-data Learning for Bayesian Additive Regression Trees | Nov 16, 2023 | PredictionPrognosis | CodeCode Available | 0 |
| Combinatorial Bayesian Optimization using the Graph Cartesian Product | Feb 1, 2019 | Bayesian OptimizationNeural Architecture Search | CodeCode Available | 0 |
| Comorbid anxiety predicts lower odds of depression improvement during smartphone-delivered psychotherapy | Sep 16, 2024 | Interpretable Machine LearningVariable Selection | CodeCode Available | 0 |
| Accuracy and stability of solar variable selection comparison under complicated dependence structures | Jul 30, 2020 | Graph Learningregression | CodeCode Available | 0 |
| metboost: Exploratory regression analysis with hierarchically clustered data | Feb 13, 2017 | MathMissing Values | CodeCode Available | 0 |
