| Optimizing Pessimism in Dynamic Treatment Regimes: A Bayesian Learning Approach Y Zhou, Z Qi, C Shi, L Li International Conference on Artificial Intelligence and Statistics, 6704-6721, 2023 | 9 | 2023 |
| The Infinitesimal Jackknife and Combinations of Models I Ghosal, Y Zhou, G Hooker arXiv preprint arXiv:2209.00147, 2022 | 3 | 2022 |
| Testing for the Markov Property in Time Series via Deep Conditional Generative Learning Y Zhou, C Shi, L Li, Q Yao Journal of the Royal Statistical Society, Series B (JRSSB), 2023 | 2 | 2023 |
| Testing Directed Acyclic Graph via Structural, Supervised and Generative Adversarial Learning C Shi, Y Zhou, L Li Journal of the American Statistical Association (JASA), 2021 | 2 | 2021 |
| SA16 Enhancing Clinical Trial Diversity and Representation Through Data-Adaptive Targeted Learning: A Tale of Lurking Berkson Bias Y Zhang, Y Zhou, J Vanderpuye-Orgle, L Reis, A Wilson Value in Health 25 (12), S486, 2022 | | 2022 |
| MSR17 Modernizing Pressure Injury Risk Assessment in the ICU in the COVID Era: Ensemble Super-Learning and Explainable AI Y Zhou, L Reis, J Alderden, Y Zhang, A Wilson Value in Health 25 (12), S353, 2022 | | 2022 |
| A Generic Approach for Reproducible Model Distillation Y Zhou, P Xu, G Hooker arXiv preprint arXiv:2211.12631, 2022 | | 2022 |
