Xiaojie Mao
Xiaojie Mao
PhD candidate, Cornell University and Cornell Tech
Verified email at cornell.edu - Homepage
Cited by
Cited by
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
Assessing algorithmic fairness with unobserved protected class using data combination
N Kallus, X Mao, A Zhou
Management Science, 2021
Causal inference with noisy and missing covariates via matrix factorization
N Kallus, X Mao, M Udell
arXiv preprint arXiv:1806.00811, 2018
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
Smooth contextual bandits: Bridging the parametric and non-differentiable regret regimes
Y Hu, N Kallus, X Mao
Conference on Learning Theory, 2007-2010, 2020
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
Fast Rates for Contextual Linear Optimization
Y Hu, N Kallus, X Mao
arXiv preprint arXiv:2011.03030, 2020
Stochastic optimization forests
N Kallus, X Mao
arXiv preprint arXiv:2008.07473, 2020
Localized debiased machine learning: Efficient estimation of quantile treatment effects, conditional value at risk, and beyond
N Kallus, X Mao, M Uehara
stat 1050, 30, 2019
Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach
N Kallus, X Mao, M Uehara
arXiv preprint arXiv:2103.14029, 2021
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond
N Kallus, X Mao, M Uehara
arXiv preprint arXiv:1912.12945, 2019
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