Scholar

Xiaojie Mao (毛小介)

Google Scholar ID: XtSSJm0AAAAJ

Associate Professor, School of Economics and Management, Tsinghua University

Data-driven decision makingcausal inferencestatistical machine learning

Citations & Impact

All-time

Citations

1,576

H-index

i10-index

Publications

Co-authors

Contact

Resume

Academic Achievements

- Preprints:
- Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions
- Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach
- On the role of surrogates in the efficient estimation of treatment effects with limited outcome data
- Localized Debiased Machine Learning: Efficient Estimation of Quantile Treatment Effects, Conditional Value at Risk, and Beyond
- Publications:
- Stochastic Optimization Forests
- Fast Rates for Contextual Linear Optimization
- Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes
- Assessing Algorithmic Fairness with Unobserved Protected Class Using Data Combination
- Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding
- Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved
- Causal Inference with Noisy and Missing Covariates via Matrix Factorization

Education

- Ph.D. in Statistics, 2016-2021, Cornell University, advised by Nathan Kallus and Madeleine Udell
- BS in Mathematical Economics, 2012-2016, Wuhan University

Background

- Research Interests: Data-driven decision-making, Causal Inference, Statistical Learning
- Professional Field: Management Science and Engineering
- Biography: Assistant Professor at Tsinghua University, focusing on developing statistical methods to address practical data challenges such as measurement errors, omitted variables, missing data, etc.