| An Integrated Panel Data Approach to Modelling Economic Growth | Mar 19, 2019 | Variable Selection | —Unverified | 0 |
| An Efficient Augmented Lagrangian Based Method for Constrained Lasso | Mar 12, 2019 | BIG-bench Machine Learningregression | —Unverified | 0 |
| Machine learning in policy evaluation: new tools for causal inference | Mar 1, 2019 | BIG-bench Machine LearningCausal Inference | CodeCode Available | 0 |
| Granger Causality Testing in High-Dimensional VARs: a Post-Double-Selection Procedure | Feb 28, 2019 | Variable Selection | CodeCode Available | 0 |
| An information criterion for auxiliary variable selection in incomplete data analysis | Feb 21, 2019 | Model SelectionVariable Selection | —Unverified | 0 |
| Learning Hierarchical Interactions at Scale: A Convex Optimization Approach | Feb 5, 2019 | Structured PredictionVariable Selection | CodeCode Available | 0 |
| Stochastic Zeroth-order Discretizations of Langevin Diffusions for Bayesian Inference | Feb 4, 2019 | Bayesian InferenceStochastic Optimization | —Unverified | 0 |
| Combinatorial Bayesian Optimization using the Graph Cartesian Product | Feb 1, 2019 | Bayesian OptimizationNeural Architecture Search | CodeCode Available | 0 |
| Active learning for binary classification with variable selection | Jan 29, 2019 | Active LearningBinary Classification | —Unverified | 0 |
| Supervised Learning for Multi-Block Incomplete Data | Jan 14, 2019 | ImputationVariable Selection | —Unverified | 0 |
