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Xiaojie Mao (毛小介)
Xiaojie Mao (毛小介)
Assistant Professor, School of Economics and Management, Tsinghua University
Verified email at sem.tsinghua.edu.cn - Homepage
Title
Cited by
Cited by
Year
Fairness under unawareness: Assessing disparity when protected class is unobserved
J Chen, N Kallus, X Mao, G Svacha, M Udell
Proceedings of the conference on fairness, accountability, and transparency …, 2019
1162019
Assessing algorithmic fairness with unobserved protected class using data combination
N Kallus, X Mao, A Zhou
Management Science 68 (3), 1959-1981, 2022
612022
Interval estimation of individual-level causal effects under unobserved confounding
N Kallus, X Mao, A Zhou
The 22nd international conference on artificial intelligence and statistics …, 2019
452019
Causal inference with noisy and missing covariates via matrix factorization
N Kallus, X Mao, M Udell
Advances in neural information processing systems 31, 2018
452018
Smooth contextual bandits: Bridging the parametric and non-differentiable regret regimes
Y Hu, N Kallus, X Mao
Conference on Learning Theory, 2007-2010, 2020
212020
Causal inference under unmeasured confounding with negative controls: A minimax learning approach
N Kallus, X Mao, M Uehara
arXiv preprint arXiv:2103.14029, 2021
182021
On the role of surrogates in the efficient estimation of treatment effects with limited outcome data
N Kallus, X Mao
arXiv preprint arXiv:2003.12408, 2020
182020
Fast rates for contextual linear optimization
Y Hu, N Kallus, X Mao
Management Science, 2022
92022
Stochastic optimization forests
N Kallus, X Mao
arXiv preprint arXiv:2008.07473, 2020
92020
Controlling for Unmeasured Confounding in Panel Data Using Minimal Bridge Functions: From Two-Way Fixed Effects to Factor Models
G Imbens, N Kallus, X Mao
arXiv preprint arXiv:2108.03849, 2021
72021
Localized debiased machine learning: Efficient inference on quantile treatment effects and beyond
N Kallus, X Mao, M Uehara
arXiv preprint arXiv:1912.12945, 2019
72019
Localized debiased machine learning: Efficient estimation of quantile treatment effects, conditional value at risk, and beyond
N Kallus, X Mao, M Uehara
51912
Long-term causal inference under persistent confounding via data combination
G Imbens, N Kallus, X Mao, Y Wang
arXiv preprint arXiv:2202.07234, 2022
22022
Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning
N Kallus, X Mao, K Wang, Z Zhou
arXiv preprint arXiv:2202.09667, 2022
2022
Machine Learning Methods for Data-Driven Decision Making: Contextual Optimization, Causal Inference, and Algorithmic Fairness
X Mao
Cornell University, 2021
2021
Fairness Under Unawareness
J Chen, N Kallus, X Mao, G Svacha, M Udell
Fast Rates for Contextual Linear Optimization Open Website
Y Hu, N Kallus, X Mao
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Articles 1–17