• EN
毛小介

管理科学与工程系    助理教授

电话:(86)(10)62797044

办公室:李华楼B418

邮箱:maoxj@sem.tsinghua.edu.cn

开放时间:周三16:30 - 17:30或预约

教育经历

2016 ~ 2021 博士,统计与数据科学,康奈尔大学

2012 ~ 2016 学士,数理经济与数理金融,武汉大学


更多

工作经历

2021 ~ 至今  助理教授,kaiyun体育登录网页入口管理科学与工程系



更多

讲授课程

管理科学中的实证方法(博士)

数据分析:推断与决策(硕士)

概率论与数理统计(本科)



更多

研究领域

因果推断、数据驱动的优化决策


更多

学术成果

论文详见英文主页https://xiaojiemao.github.io/和谷歌学术页面https://scholar.google.com/citations?user=XtSSJm0AAAAJ&hl=en&oi=ao


论文发表

  • Nathan Kallus, Xiaojie Mao, Masatoshi Uehara. Localized Debiased Machine Learning: Efficient Estimation of Quantile Treatment Effects and Beyond. Journal of Machine Learning Research, 2024. (中国计算机学会A类期刊)

  • Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara. Inference on Strongly Identified Functionals of Weakly Identified Functions. Conference on Learning Theory, 2023.

  • Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara. Minimax Instrumental Variable Regression and L2 Convergence Guarantees without Identification or Closedness. Conference on Learning Theory, 2023.

  • Nathan Kallus, Xiaojie Mao, Kaiwen Wang, Zhengyuan Zhou (2022). Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning. International Conference on Machine Learning, 2022. (中国计算机学会A类会议)

  • Nathan Kallus, Xiaojie Mao. Stochastic Optimization Forests. Management Science, 2022(UTD 24期刊)

  • Yichun Hu, Nathan Kallus, Xiaojie Mao. Fast Rates for Contextual Linear Optimization. Management Science (Fast Track), 2022. (UTD 24期刊)

  • Yichun Hu, Nathan Kallus, Xiaojie Mao. Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes. Operations Research, 2021. (UTD 24期刊,论文获得Finalist for Applied Probability Society 2020 Best Student Paper Competition). 

  • Nathan Kallus, Xiaojie Mao, Angela Zhou. Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination. Management Science Special Section on Data-Driven Prescriptive Analytics, 2022. (UTD 24期刊, Featured Article in Management Science Vol 68 Issue 3 with invited review at https://www.informs.org/Blogs/ManSci-Blogs/Management-Science-Review/If-You-Can-t-Measure-It-Bound-It-Credibly-Auditing-Algorithms-for-Fairness2).  

  • Nathan Kallus, Xiaojie Mao, Angela Zhou. Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding. The 22nd International Conference on Artificial Intelligence and Statistics, 2019.

  • Jiahao Chen, Nathan Kallus, Xiaojie Mao, Geoffry Svacha, Madeleine Udell. Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved. ACM FAT* 2019: Conference on Fairness, Accountability, and Transparency in Machine Learning.

  • Nathan Kallus, Xiaojie Mao, Madeleine Udell. Causal Inference with Noisy and Missing Covariates via Matrix Factorization. The 32nd Annual Conference on Neural Information Processing Systems, 2018. (中国计算机学会A类会议) 


工作论文

  • Yong Liang, Xiaojie Mao, Shiyuan Wang. Online Joint Assortment-Inventory Optimization under MNL Choicesarxiv preprint 2304.02022

  • Guido Imbens, Nathan Kallus, Xiaojie Mao, Yuhao Wang. Long-term causal inference under persistent confounding via data combination. arxiv preprint 2202.07234.

  • Guido Imbens, Nathan Kallus, Xiaojie Mao. Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models. arxiv preprint 2108.03849.

  • Nathan Kallus, Xiaojie Mao, Masatoshi Uehara. Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach. arxiv preprint 2103.14029.

  • Nathan Kallus, Xiaojie Mao. On the role of surrogates in the efficient estimation of treatment effects with limited outcome data. arxiv preprint 2003.12408.



更多

所获荣誉

科研项目及奖项

数据驱动的决策方法,国家自然科学基金(优秀青年科学基金项目),主持,2024 ~ 2026

基于数据结合的长期因果效应推断与决策,国家自然科学基金(青年科学基金项目),主持,2023 ~ 2025

面向供应链韧性与安全的行为决策理论与方法,国家自然科学基金(重大项目子课题),参与,2023 ~ 2027

硬件资源受限下的高效智能控制,科技部(科技创新2030重大项目),参与,2023 ~ 2025

Applied Probability Society  Best Student Paper Competition, Finalist, 2020


更多