| Is Pessimism Provably Efficient for Offline Reinforcement Learning? Y Jin, Z Yang, Z Wang Mathematics of Operations Research, 2024 | 571* | 2024 |
| Contemporary symbolic regression methods and their relative performance W La Cava, P Orzechowski, B Burlacu, FO de França, M Virgolin, Y Jin, ... Proceedings of the Neural Information Processing Systems (Track on Datasets …, 2021 | 476 | 2021 |
| Bayesian symbolic regression Y Jin, W Fu, J Kang, J Guo, J Guo arXiv preprint arXiv:1910.08892, 2019 | 154 | 2019 |
| Uncertainty quantification over graph with conformalized graph neural networks K Huang, Y Jin, E Candes, J Leskovec Advances in Neural Information Processing Systems 36, 26699-26721, 2023 | 132 | 2023 |
| Sensitivity analysis of individual treatment effects: A robust conformal inference approach Y Jin, Z Ren, EJ Candès Proceedings of the National Academy of Sciences 120 (6), e2214889120, 2023 | 100 | 2023 |
| Selection by prediction with conformal p-values Y Jin, EJ Candès Journal of Machine Learning Research 24 (244), 1-41, 2023 | 76 | 2023 |
| Conformal alignment: Knowing when to trust foundation models with guarantees Y Gui, Y Jin, Z Ren Advances in Neural Information Processing Systems 37, 2024 | 49 | 2024 |
| Policy learning “without” overlap: Pessimism and generalized empirical Bernstein’s inequality Y Jin, Z Ren, Z Yang, Z Wang The Annals of Statistics 53 (4), 1483-1512, 2025 | 47 | 2025 |
| Sensitivity Analysis Under the f-Sensitivity Model: A Distributional Robustness Perspective Y Jin, Z Ren, Z Zhou Operations Research, 2025 | 31* | 2025 |
| Model-free selective inference under covariate shift via weighted conformal p-values Y Jin, EJ Candès Biometrika, asaf066, 2025 | 29 | 2025 |
| Toward optimal variance reduction in online controlled experiments Y Jin, S Ba Technometrics 65 (2), 231-242, 2023 | 25 | 2023 |
| Confidence on the focal: Conformal prediction with selection-conditional coverage Y Jin, Z Ren Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2025 | 24 | 2025 |
| Automated hypothesis validation with agentic sequential falsifications K Huang, Y Jin, R Li, MY Li, E Candès, J Leskovec arXiv preprint arXiv:2502.09858, 2025 | 20 | 2025 |
| Upper bounds on the natarajan dimensions of some function classes Y Jin 2023 IEEE International Symposium on Information Theory (ISIT), 1020-1025, 2023 | 15 | 2023 |
| Tailored inference for finite populations: conditional validity and transfer across distributions Y Jin, D Rothenhäusler Biometrika 111 (1), 215-233, 2024 | 12 | 2024 |
| Optimized conformal selection: Powerful selective inference after conformity score optimization T Bai, Y Jin arXiv preprint arXiv:2411.17983, 2024 | 11 | 2024 |
| Feasible -Learning for Average Reward Reinforcement Learning Y Jin, R Gummadi, Z Zhou, J Blanchet International Conference on Artificial Intelligence and Statistics, 1630-1638, 2024 | 11 | 2024 |
| Diagnosing the role of observable distribution shift in scientific replications Y Jin, K Guo, D Rothenhäusler arXiv preprint arXiv:2309.01056, 2023 | 11 | 2023 |
| Beyond reweighting: On the predictive role of covariate shift in effect generalization Y Jin, N Egami, D Rothenhäusler Proceedings of the National Academy of Sciences 122 (45), e2427181122, 2025 | 8 | 2025 |
| Diversifying Conformal Selections Y Nair, Y Jin, J Yang, E Candes arXiv preprint arXiv:2506.16229, 2025 | 5 | 2025 |
