| Inference for L_2-Boosting | May 4, 2018 | Variable Selection | CodeCode Available | 0 |
| Multi-Task Learning for Sparsity Pattern Heterogeneity: Statistical and Computational Perspectives | Dec 16, 2022 | Multi-Task LearningVariable Selection | CodeCode Available | 0 |
| Sparsistent Model Discovery | Jun 22, 2021 | modelModel Discovery | CodeCode Available | 0 |
| Quantifying predictive uncertainty of aphasia severity in stroke patients with sparse heteroscedastic Bayesian high-dimensional regression | Sep 15, 2023 | Prediction Intervalsregression | CodeCode Available | 0 |
| Deep Knockoffs | Nov 16, 2018 | Variable Selection | CodeCode Available | 0 |
| High Dimensional Bayesian Optimization using Lasso Variable Selection | Apr 2, 2025 | Bayesian OptimizationComputational Efficiency | CodeCode Available | 0 |
| DeepLINK-T: deep learning inference for time series data using knockoffs and LSTM | Apr 5, 2024 | Deep Learningfeature selection | CodeCode Available | 0 |
| Semi-Analytic Resampling in Lasso | Feb 28, 2018 | Variable Selection | CodeCode Available | 0 |
| Deep neural networks with controlled variable selection for the identification of putative causal genetic variants | Sep 29, 2021 | Computational Efficiencyfeature selection | CodeCode Available | 0 |
| Importance of spatial predictor variable selection in machine learning applications -- Moving from data reproduction to spatial prediction | Aug 21, 2019 | Variable Selection | CodeCode Available | 0 |
