Mao, Xiaojie

10 publications

ICML 2025 Learning with Selectively Labeled Data from Multiple Decision-Makers Jian Chen, Zhehao Li, Xiaojie Mao

NeurIPS 2025 Online Strategic Classification with Noise and Partial Feedback Tianrun Zhao, Xiaojie Mao, Yong Liang

NeurIPS 2024 Contextual Linear Optimization with Bandit Feedback Yichun Hu, Nathan Kallus, Xiaojie Mao, Yanchen Wu

JMLR 2024 Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond Nathan Kallus, Xiaojie Mao, Masatoshi Uehara

COLT 2023 Inference on Strongly Identified Functionals of Weakly Identified Functions Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara

COLT 2023 Minimax Instrumental Variable Regression and $l_2$ Convergence Guarantees Without Identification or Closedness Andrew Bennett, Nathan Kallus, Xiaojie Mao, Whitney Newey, Vasilis Syrgkanis, Masatoshi Uehara

ICML 2022 Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning Nathan Kallus, Xiaojie Mao, Kaiwen Wang, Zhengyuan Zhou

COLT 2020 Smooth Contextual Bandits: Bridging the Parametric and Non-Differentiable Regret Regimes Yichun Hu, Nathan Kallus, Xiaojie Mao

AISTATS 2019 Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding Nathan Kallus, Xiaojie Mao, Angela Zhou

NeurIPS 2018 Causal Inference with Noisy and Missing Covariates via Matrix Factorization Nathan Kallus, Xiaojie Mao, Madeleine Udell