| Semiparametric discrete data regression with Monte Carlo inference and prediction | Oct 23, 2021 | regressionVariable Selection | CodeCode Available | 0 | 5 |
| Sparsifying Bayesian neural networks with latent binary variables and normalizing flows | May 5, 2023 | Machine TranslationVariable Selection | CodeCode Available | 0 | 5 |
| Consistent Sparse Deep Learning: Theory and Computation | Feb 25, 2021 | Deep LearningGeneralization Bounds | CodeCode Available | 0 | 5 |
| Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors | Jun 22, 2020 | Bayesian Inferenceregression | CodeCode Available | 0 | 5 |
| Structured nonlinear variable selection | May 16, 2018 | Additive modelsVariable Selection | CodeCode Available | 0 | 5 |
| Covariance and PCA for Categorical Variables | Nov 28, 2007 | Variable Selection | CodeCode Available | 0 | 5 |
| Deep Knockoffs | Nov 16, 2018 | Variable Selection | CodeCode Available | 0 | 5 |
| Deep neural networks with controlled variable selection for the identification of putative causal genetic variants | Sep 29, 2021 | Computational Efficiencyfeature selection | CodeCode Available | 0 | 5 |
| Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee | Nov 15, 2020 | Deep LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Flexible mean field variational inference using mixtures of non-overlapping exponential families | Oct 14, 2020 | Variable SelectionVariational Inference | CodeCode Available | 0 | 5 |
