| Random graph asymptotics for treatment effect estimation under network interference S Li, S Wager The Annals of Statistics 50 (4), 2334-2358, 2022 | 131 | 2022 |
| Average direct and indirect causal effects under interference Y Hu, S Li, S Wager Biometrika, 2022 | 110* | 2022 |
| Cooperative learning for multiview analysis DY Ding, S Li, B Narasimhan, R Tibshirani Proceedings of the National Academy of Sciences 119 (38), e2202113119, 2022 | 84 | 2022 |
| Searching for robust associations with a multi-environment knockoff filter S Li, M Sesia, Y Romano, E Candes, C Sabatti Biometrika 109 (3), 611-629, 2022 | 37 | 2022 |
| Experimenting under stochastic congestion S Li, R Johari, X Kuang, S Wager arXiv preprint arXiv:2302.12093, 2023 | 30 | 2023 |
| Detecting interference in online controlled experiments with increasing allocation K Han, S Li, J Mao, H Wu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 19* | 2023 |
| Network interference in micro-randomized trials S Li, S Wager arXiv preprint arXiv:2202.05356, 2022 | 14 | 2022 |
| Maxway CRT: improving the robustness of the model-X inference S Li, M Liu Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023 | 13 | 2023 |
| Transfer learning in genome-wide association studies with knockoffs S Li, Z Ren, C Sabatti, M Sesia Sankhya B, 1-39, 2022 | 9 | 2022 |
| Dyadic reinforcement learning S Li, LS Niell, SW Choi, I Nahum-Shani, G Shani, S Murphy arXiv preprint arXiv:2308.07843, 2023 | 4 | 2023 |
| Deploying the Conditional Randomization Test in High Multiplicity Problems S Li, EJ Candès arXiv preprint arXiv:2110.02422, 2021 | 4 | 2021 |
| Optimal Targeting in Dynamic Systems Y Hu, S Li, S Wager arXiv preprint arXiv:2507.00312, 2025 | 1 | 2025 |
| Covariate shift corrected conditional randomization test B Xu, Y Huang, C Hong, S Li, M Liu Advances in Neural Information Processing Systems 37, 78027-78052, 2024 | 1 | 2024 |
| Causal and Selective Inference in Complex Statistical Models S Li Stanford University, 2022 | 1 | 2022 |
| Sharp Bounds for Exponential Approximations of NWUE Distributions M Brown, S Li Methodology and Computing in Applied Probability 20 (3), 875-896, 2018 | 1 | 2018 |
| Covariate Adjustment Cannot Hurt: Treatment Effect Estimation under Interference with Low-Order Outcome Interactions X Wang, S Li arXiv preprint arXiv:2509.03050, 2025 | | 2025 |
| Choosing the Better Bandit Algorithm under Data Sharing: When Do A/B Experiments Work? S Li, C Wang, J Wang arXiv preprint arXiv:2507.11891, 2025 | | 2025 |
Stefan WagerGraduate School of Business, Stanford UniversityVerified email at stanford.edu
