I am interested in sequential and adaptive decision-making from a statistical perspective, encompassing the areas of adaptive experimentation, reinforcement learning, longitudinal data analysis, and causal inference. I apply these methods to various fields, such as personalized health interventions, online experimentation, pricing and auctions. Additionally, I am interested in nonparametric and semiparametric statistics, high-dimensional statistics, and distributed statistical learning.
Esmaeil Keyvanshokooh, Kyra Gan, Yongyi Guo, Xueqing Liu, Anna L. Trella, Susan Murphy. Improving Treatment Responses through Limited Nudges: A Data-Driven Learning and Optimization Approach.
Coughlin, L.N., Campbell, M., Wheeler, T., Rodriguez, C., Florimbio, A.R., Ghosh, S., Guo, Y., Hung., P., Zhang, K.W., Zimmerman, L., Bonar, E.E., Walton, M.A., Murphy, S., Nahum-Shani, I. A mobile health intervention for emerging adults with regular cannabis use: A micro-randomized pilot trial design protocol. Contemporary Clinical Trials (In press).
Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara Coughlin, Erin Bonar, Inbal Nahum-Shani, Maureen Walton, Susan Murphy. reBandit: Random Effects based Online RL algorithm for Reducing Cannabis Use. AI for Social Good Track, 33rd International Joint Conference on Artificial Intelligence (IJCAI), Jeju, South Korea, 2024.
Yongyi Guo, Ziping Xu, Susan Murphy. Online Learning in Bandits with Predicted Context. 27th International Conference on Artificial Intelligence and Statistics (AISTATS), Valencia, Spain, 2024.
Ivana Malenica, Yongyi Guo, Kyra Gan, Stefan Konigorski. Anytime-valid Inference in N-of-1 Trials. Proceedings of the 3rd Machine Learning for Health Symposium, PMLR 225:307-322, 2023.
Jianqing Fan, Yongyi Guo, Maxine Yu. Policy Optimization Using Semi-parametric Models for Dynamic Pricing. Journal of the American Statistical Association (2022): 1-37.
Yongyi Guo, Dominic Coey, Mikael Konutgan, Wenting Li, Chris Schoener, Matt Goldman. Machine Learning for Variance Reduction in Online Experiments. Conference on Neural Information Processing Systems, 2021.
Yongyi Guo†, Ziwei Zhu†, Jianqing Fan. Best subset selection is robust against design dependence. [†: equal contribution]
Jianqing Fan, Yongyi Guo, Kaizheng Wang. Communication-Efficient Accurate Statistical Estimation. Journal of the American Statistical Association (2021): 1-11.
Jianqing Fan, Yongyi Guo, Bai Jiang. Adaptive Huber Regression on Markov Dependent Data. Stochastic Processes and their Applications 150 (2022): 802-818.
Yongyi Guo, Zhiyi You, Min Qian, Hao Ge. Stochastic Robustness and Relative Stability of Multiple Pathways in Biological Networks. Science China Mathematics 2017, 47:1831 – 1852. (Winner of Excellent Paper Award)