| Uncertainty quantification for sparse deep learning Y Wang, V Rocková International Conference on Artificial Intelligence and Statistics, 298-308, 2020 | 40 | 2020 |
| Variable selection with ABC Bayesian forests Y Liu, V Ročková, Y Wang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2021 | 32* | 2021 |
| Approximate Bayesian computation via classification Y Wang, T Kaji, V Rockova Journal of Machine Learning Research 23 (350), 1-49, 2022 | 7 | 2022 |
| Data Augmentation for Bayesian Deep Learning Y Wang, NG Polson, VO Sokolov Bayesian Analysis, 2019 | 7* | 2019 |
| Adversarial bayesian simulation Y Wang, V Ročková arXiv preprint arXiv:2208.12113, 2022 | 4 | 2022 |
| Sparse regularization in marketing and economics G Feng, N Polson, Y Wang, J Xu Available at SSRN 3022856, 2018 | 1 | 2018 |
| Horseshoe Priors for Sparse Dirichlet-Multinomial Models Y Wang, NG Polson arXiv preprint arXiv:2402.09583, 2024 | | 2024 |
| Deep Approximate Bayesian Inference Y Wang The University of Chicago, 2023 | | 2023 |
