Xiaojie Mao (毛小介)
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
17
 
i10-index
18
 
Publications
20
 
Co-authors
0
 
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
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.
Co-authors
0 total
Co-authors: 0 (list not available)