| A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data | May 5, 2020 | Decision MakingVariable Selection | CodeCode Available | 0 | 5 |
| Machine learning in policy evaluation: new tools for causal inference | Mar 1, 2019 | BIG-bench Machine LearningCausal Inference | CodeCode Available | 0 | 5 |
| Co-data Learning for Bayesian Additive Regression Trees | Nov 16, 2023 | PredictionPrognosis | CodeCode Available | 0 | 5 |
| Combinatorial Bayesian Optimization using the Graph Cartesian Product | Feb 1, 2019 | Bayesian OptimizationNeural Architecture Search | CodeCode Available | 0 | 5 |
| Multi-Task Learning for Sparsity Pattern Heterogeneity: Statistical and Computational Perspectives | Dec 16, 2022 | Multi-Task LearningVariable Selection | CodeCode Available | 0 | 5 |
| A Splicing Approach to Best Subset of Groups Selection | Apr 23, 2021 | Variable Selection | CodeCode Available | 0 | 5 |
| AirCast: Improving Air Pollution Forecasting Through Multi-Variable Data Alignment | Feb 25, 2025 | Multi-Task LearningVariable Selection | CodeCode Available | 0 | 5 |
| Characterizing the SLOPE Trade-off: A Variational Perspective and the Donoho-Tanner Limit | May 27, 2021 | Variable Selection | CodeCode Available | 0 | 5 |
| Improving Network Slimming with Nonconvex Regularization | Oct 3, 2020 | compressed sensingimage-classification | CodeCode Available | 0 | 5 |
| Computationally Efficient High-Dimensional Bayesian Optimization via Variable Selection | Sep 20, 2021 | Bayesian OptimizationVariable Selection | CodeCode Available | 0 | 5 |
