Research
Journal Publications
Mo, W., and Liu, Y. (2022). Efficient Learning of Optimal Individualized Treatment Rules for Heteroscedastic or Misspecied Treatment-Free Effect Models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 84(2): 440-472. DOI: 10.1111/rssb.12474.
Mo, W.*, Qi, Z*., and Liu, Y. (2021). Learning Optimal Distributionally Robust Individualized Treatment Rules (with discussion). Journal of the American Statistical Association, 116(534): 659-674. DOI: 10.1080/01621459.2020.1796359.
Mo, W.*, Qi, Z.*, and Liu, Y. (2021). Rejoinder: Learning Optimal Distributionally Robust Individualized Treatment Rules. Journal of the American Statistical Association, 116(534): 699-707. DOI: 10.1080/01621459.2020.1866581.
Conference Proceedings
Dong, J.*, Mo, W.*, Qi, Z., Shi, C., Fang, X., and Tarokh, V. (2023). PASTA: Pessimistic Assortment Optimization. In International Conference on Machine Learning 2023 (ICML 2023).
Mo, W., Yu, H., and Liu, C. (2021). Markdown First Reinforcement Learning Pricing with Demand Learning. In Amazon Machine Learning Conference 2021.
Book Chapters
Mo. W., and Liu, Y. (2022+). A Selective Review of Individualized Decision Making. In Precision Medicine: New Methods and Applications. To appear.
Mo. W., and Liu, Y. (2021). Supervised Learning. In Wiley StatsRef: Statistics Reference Online (eds N. Balakrishnan, T. Colton, B. Everitt, W. Piegorsch, F. Ruggeri and J.L. Teugels). DOI: 10.1002/9781118445112.stat08302.
Presentations
"Efficient Learning of Optimal Individualized Treatment Rules", ICSA 2023 China Conference (Chengdu, China), July 2023.
"Efficient Learning for Personalized Decision Making", 15th International Conference of the ERCIM WG on Computational and Methodological Statistics (CMStatistics) (London, United Kingdom), Dec. 2022.
"Efficient Learning for Personalized Decision Making", INFORMS Annual Meeting (Indianapolis, IN), Oct. 2022.
"Efficient Learning of Optimal Individualized Treatment Rules", Center for Data Science, Zhejiang University (Hangzhou, ZJ, China), Oct. 2022.
"Learning Optimal Distributionally Robust Individualized Treatment Rules", the Fifth ICSA-Canada Chapter Symposium (Banff, AB, Canada), Jul. 2022.
"Markdown First Reinforcement Learning Pricing with Demand Learning" (poster), Amazon Machine Learning Conference (virtual), Oct. 2021.
"Learning Optimal Distributionally Robust Individualized Treatment Rules", Joint Statistical Meetings (virtual), Aug. 2020.
"Variance-Regularized Policy Learning" (poster), Statistical and Computational Challenges in Precision Medicine Workshop (Minneapolis, MN), Nov. 2018.
"Recent Development in Dynamic Treatment Regime" (poster), Conference on Statistical Learning and Data Science / Nonparametric Statistics (New York, NY), June 2018.
Professional Services
Reviewers for Journal of the American Statistical Association, Journal of Multivariate Analysis, the Canadian Journal of Statistics, the Annals of Applied Statistics, Stat.