| Regression adjustments for estimating the global treatment effect in experiments with interference A Chin Journal of Causal Inference 7 (2), 20180026, 2019 | 51 | 2019 |
| Evaluating stochastic seeding strategies in networks A Chin, D Eckles, J Ugander Management Science 68 (3), 1714-1736, 2022 | 38 | 2022 |
| Central limit theorems via Stein's method for randomized experiments under interference A Chin arXiv preprint arXiv:1804.03105, 2018 | 38 | 2018 |
| Subtrees of graphs AJ Chin, G Gordon, KJ MacPhee, C Vincent Journal of Graph Theory 89 (4), 413-438, 2018 | 30 | 2018 |
| Decoupled smoothing on graphs A Chin, Y Chen, K M. Altenburger, J Ugander The World Wide Web Conference, 263-272, 2019 | 17 | 2019 |
| Bias-variance tradeoffs for designing simultaneous temporal experiments R Xiong, A Chin, S Taylor The KDD'23 Workshop on Causal Discovery, Prediction and Decision, 115-131, 2023 | 12 | 2023 |
| Pick a Tree–Any Tree A Chin, G Gordon, K MacPhee, C Vincent The American Mathematical Monthly 122 (5), 424-432, 2015 | 3 | 2015 |
| Data-Driven Switchback Designs: Theoretical Tradeoffs and Empirical Calibration R Xiong, A Chin, SJ Taylor Available at SSRN, 2023 | 2 | 2023 |
| Modern statistical approaches for randomized experiments under interference A Chin Stanford University, 2019 | 2 | 2019 |
| A Unified Representation Framework for Rideshare Marketplace Equilibrium and Efficiency A Chin, Z Qin Proceedings of the 31st ACM International Conference on Advances in …, 2023 | 1 | 2023 |
| Asymptotic analysis of equivalences and core-structures in kronecker-style graph models AJ Chin, TD Goodrich, MP O’Brien, F Reidl, BD Sullivan, A van der Poel 2016 IEEE 16th International Conference on Data Mining (ICDM), 829-834, 2016 | 1 | 2016 |
| Pick a tree--any tree C Vincent, G Gordon, K MacPhee, A Chin American Mathematical Monthly 122 (5), 424-432, 2015 | | 2015 |
| Data-Driven Switchback Design R Xiong, A Chin, S Taylor | | |
