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Journal Articles
- 2021
[j1]Lan Sun
, Xin Huang, Yingjie Wu, Yongyi Guo:
Sensitivity reduction of degree histogram publication under node differential privacy via mean filtering. Concurr. Comput. Pract. Exp. 33(8) (2021)
Conference and Workshop Papers
- 2024
- [c5]Yongyi Guo, Ziping Xu, Susan A. Murphy:
Online learning in bandits with predicted context. AISTATS 2024: 2215-2223 - [c4]Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara N. Coughlin, Erin Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy:
ReBandit: Random Effects Based Online RL Algorithm for Reducing Cannabis Use. IJCAI 2024: 7278-7286 - 2023
- [c3]Ivana Malenica, Yongyi Guo, Kyra Gan, Stefan Konigorski:
Anytime-valid inference in N-of-1 trials. ML4H@NeurIPS 2023: 307-322 - 2021
- [c2]Yongyi Guo, Dominic Coey, Mikael Konutgan, Wenting Li, Chris Schoener, Matt Goldman:
Machine Learning for Variance Reduction in Online Experiments. NeurIPS 2021: 8637-8648 - 2020
- [c1]Zhenzhen Zhang, Jianping Cai, Lan Sun, Yongyi Guo, Yubing Qiu, Yingjie Wu:
Differential Privacy Trajectory Data Protection Algorithm Based on Polar Coordinate Transformation. FSDM 2020: 671-681
Informal and Other Publications
- 2024
- [i7]Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara N. Coughlin, Erin Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy:
reBandit: Random Effects based Online RL algorithm for Reducing Cannabis Use. CoRR abs/2402.17739 (2024) - [i6]Susobhan Ghosh, Yongyi Guo, Pei-Yao Hung, Lara N. Coughlin, Erin Bonar, Inbal Nahum-Shani, Maureen A. Walton, Susan A. Murphy:
MiWaves Reinforcement Learning Algorithm. CoRR abs/2408.15076 (2024) - [i5]Anna L. Trella, Susobhan Ghosh, Erin Bonar, Lara N. Coughlin, Finale Doshi-Velez, Yongyi Guo, Pei-Yao Hung, Inbal Nahum-Shani, Vivek Shetty, Maureen A. Walton, Iris Yan, Kelly W. Zhang, Susan A. Murphy:
Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation. CoRR abs/2409.10526 (2024) - 2023
- [i4]Yongyi Guo, Susan A. Murphy:
Online learning in bandits with predicted context. CoRR abs/2307.13916 (2023) - 2021
- [i3]Yongyi Guo, Dominic Coey, Mikael Konutgan, Wenting Li, Chris Schoener, Matt Goldman:
Machine Learning for Variance Reduction in Online Experiments. CoRR abs/2106.07263 (2021) - [i2]Jianqing Fan, Yongyi Guo, Mengxin Yu:
Policy Optimization Using Semiparametric Models for Dynamic Pricing. CoRR abs/2109.06368 (2021) - 2019
- [i1]Jianqing Fan, Yongyi Guo, Kaizheng Wang:
Communication-Efficient Accurate Statistical Estimation. CoRR abs/1906.04870 (2019)
Coauthor Index
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