Selected Publications

* : Equal Contribution

1. Zero-Inflated Bandits
   Wei, H.*, Wan, R.*, Shi, L. and Song, R. (2025). ICML 2025
   
2. Know When to Fold: Futility-Aware Early Termination in Online Experiments
   Liu, Y.*, Wan, R.*, Huang, Y., McQueen, J., Hains, D., Gu, J., and Song, R. (2025). WWW 2025
   
3. Robust Offline Policy Evaluation and Optimization with Heavy-Tailed Rewards
   Zhu, J. , Wan, R., Qi, Z., Luo, S. and Shi, C. (2024). AISTATS 2024.
   
4. Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches
5. Multiplier Bootstrap-based Exploration
   Wan, R.*, Wei, H.*, Kveton, B. and Song, R. (2023). ICML 2023
   
6. Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies
   Wan, R., Li Y., Lu, W. and Song, R. (2022). Journal of Econometrics (JOE)
   (Won the Best Student Paper Award, Business&Econ Section, American Statistical Association. Declined following the one-award-per-year policy)
   
7. Safe Exploration for Efficient Policy Evaluation and Comparison
   Wan, R., Kveton, B., and Song, R. (2022). ICML 2022
   
8. Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
   Wan, R., Ge, L. and Song, R. (2021). NeurIPS 2021
   
9. Deeply-Debiased Off-Policy Interval Estimation
   Shi, C.*, Wan, R*., Chernozhukov, V. and Song, R. (2021). ICML 2021. (Long oral, rate 3%)
   
10. Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
    Shi, C., Wan, R., Song, R., Lu, W. and Leng, L. (2020). ICML 2020
    

Under Review / Revision

1. A Review of Causal Decision Making
   Ge, L.*, Cai, H.*, Wan, R.*, Xu, Y.*, and Song, R.
   
2. Heterogeneous Synthetic Learner for Panel Data
   Shen, Y., Wan, R., Cai, H. and Song, R.
   

Internal Publications (Amazon)

1. Know When to Fold: Futility-aware Early Termination in Online Experiments.
   Wan, R.*, Liu, Y.*, Huang Y., McQueen, J., Hains D., Gu J. and Song, R. (2023) CSS 2024 (Best Paper Award)
   
2. Data-driven substitution aware promise tuning model and promise extension experiment
   Giannakakis, I., Svoboda , R., Wan, R.*, Gu, J., Yao, J. (2023) AMLC 2023
   
3. Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches
   Liu, Y.*, Wan, R.*, McQueen, J., Hains D., Gu, J., and Song, R. (2023) Econ Summit 2023
   
4. Continuous Monitoring of A/B Tests: A Meta Analysis
   Liu, Y.*, Wan, R.*, McQueen, J., Song, R, Hains D. and Richardson, T. (2023) AMLC 2023
   

Other Contributions

• Our tutorial book on Causal Decision Making is online! Check Causal Decision Making

• Norman Breslow Young Investigator Award, American Statistical Association
• Gertrude M. Cox Academic Achievement Award (1st place in the Ph.D. Qualifier Exam), NC State University
• Buqing Su Honor Graduate, Fudan University
• First Prize, Undergraduate Scholarship, Fudan University

Reviewer:

• Conferences: NeurIPS, ICML, ICLR, UAI, AISTATS, KDD, IJCAI, AAAI, SDM
• Journals: Annals of Statistics, Journal of the American Statistical Association (T&M), Journal of the American Statistical Association (book review), Journal of the Royal Statistical Society (Series B), EJS, STPA, Transactions on Machine Learning Research (TMLR)

PC member: RLITS Workshop at IJCAI 2021, Online Marketplaces Workshop at KDD 2022/2023