| Noisy gradient descent converges to flat minima for nonconvex matrix factorization T Liu, Y Li, S Wei, E Zhou, T Zhao International Conference on Artificial Intelligence and Statistics, 1891-1899, 2021 | 10 | 2021 |
| Online kernel CUSUM for change-point detection S Wei, Y Xie arXiv preprint arXiv:2211.15070, 2022 | 7 | 2022 |
| Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes S Wei, Y Xie, CS Josef, R Kamaleswaran arXiv preprint arXiv:2209.04480, 2022 | 6* | 2022 |
| Goodness-of-fit test for mismatched self-exciting processes S Wei, S Zhu, M Zhang, Y Xie International Conference on Artificial Intelligence and Statistics, 1243-1251, 2021 | 4 | 2021 |
| Causal structural learning from time series: A convex optimization approach S Wei, Y Xie arXiv preprint arXiv:2301.11336, 2023 | 3 | 2023 |
| Causal graph discovery from self and mutually exciting time series S Wei, Y Xie, CS Josef, R Kamaleswaran IEEE Journal on Selected Areas in Information Theory, 2023 | 2 | 2023 |
| Transfer Causal Learning: Causal Effect Estimation with Knowledge Transfer S Wei, R Moore, H Zhang, Y Xie, R Kamaleswaran ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 2023 | 2 | 2023 |
| Causal Graph Recovery for Sepsis-Associated Derangements via Interpretable Hawkes Networks S Wei, Y Xie, CS Josef, R Kamaleswaran ICML Workshop on Interpretable Machine Learning in Healthcare (IMLH), 2021 | 2 | 2021 |
| INTAGS: Interactive Agent-Guided Simulation S Wei, A Coletta, S Vyetrenko, T Balch NeurIPS Workshop on Synthetic Data Generation with Generative AI …, 2023 | 1* | 2023 |
| Inferring serial correlation with dynamic backgrounds S Wei, Y Xie, D Rahnev International Conference on Machine Learning, 11047-11057, 2021 | 1 | 2021 |
| Unfairness Detection within Power Systems through Transfer Counterfactual Learning S Wei, X Kong, SA Huestis-Mitchell, Y Xie, S Zhu, AS Xavier, F Qiu Causal Representation Learning Workshop at NeurIPS 2023, 2023 | | 2023 |
| Assessing Electricity Service Unfairness with Transfer Counterfactual Learning S Wei, X Kong, AS Xavier, S Zhu, Y Xie, F Qiu arXiv preprint arXiv:2310.03258, 2023 | | 2023 |
| Optimal Sub-sampling to Boost Power of Kernel Sequential Change-point Detection S Wei, C Huang arXiv preprint arXiv:2210.15060, 2022 | | 2022 |
Yao XieCoca-Cola Foundation Chair and Professor, Georgia Institute of TechnologyVerified email at isye.gatech.edu
