Mengxin(Maxine) Yu. High-dimensional Robust Statistical Inference. Princeton University, 2023.

* indicates equal contribution or alphabetical authorship.

The symbol ✉ denotes the senior or corresponding author.

Chris Sebastian, Mengxin(Maxine) Yu, Jin Jin ✉ Constructing a Literature-Derived Database for Benchmarking Polygenic Risk Score Construction Methods with Spectral Ranking Inferences. Submitted, Under Review; medRxiv.

Yangxinyu Xie, Tao Wang, Soham Mallick, Yan Sun, Georgy Noarov, Mengxin(Maxine) Yu, Tanwi Mallick, Weijie J Su, Edgar Dobriban ✉ Statistical Early Stopping for Reasoning Models Submitted, Under Review; Arxiv Preprint arXiv:2602.13935.

Yonghoon Lee, Mengxin(Maxine) Yu, Jiewen Liu, Chan Park, Yunshu Zhang, James M Robins, Eric J Tchetgen Tchetgen ✉ Inference on Nonlinear Counterfactual Functionals under a Multiplicative IV Model. Submitted, Under Review; Arxiv Preprints arXiv:2507.15612.

Jiewen Liu, Chan Park, Yonghoon Lee, Yunshu Zhang, Mengxin(Maxine) Yu, James M Robins, Eric J Tchetgen Tchetgen ✉. The Multiplicative Instrumental Variable Model. Submitted, Under Review; Arxiv Preprints arXiv:2507.09302.

Jianqing Fan* ✉, Jikai Hou* ✉, Mengxin(Maxine) Yu* ✉(Alphabetical). Covariate Assisted Entity Ranking with Sparse Intrinsic Scores. Submitted, Under Revision; Arxiv Preprints arXiv:2407.08814.

Bingkai Wang ✉, Fan Li, Mengxin(Maxine) Yu ✉ Conformal causal inference for cluster randomized trials: model-robust inference without asymptotic approximations. Submitted, Under Revision; Arxiv Preprints arXiv:2401.01977.

Mengxin(Maxine) Yu ✉, Zhuoran Yang, Jianqing Fan. Strategic Decision-Making in the Presence of Information Asymmetry: Provably Efficient RL with Algorithmic Instruments. Under Revision.

• This paper received the ASA Best Student Paper Award at the Business and Economic Statistics Session, 2023.
• This paper received the IMS Hannan Graduate Student Travel Award, 2023.

* indicates equal contribution or alphabetical authorship.

The symbol ✉ denotes the senior or corresponding author.

Mengxin(Maxine) Yu ✉, Nicholas P. Jewell ✉. Test-Negative Designs with Multiple Testing Sources. Statistics in Medicine, Accepted; Arxiv Preprints arXiv:2504.19778.

Mengxin(Maxine) Yu* ✉, Tom Hongyi Liu, Kendrick Qijun Li, Nicholas P. Jewell, Eric J. Tchetgen Tchetgen, Dylan S. Small, Xu Shi, Bingkai Wang*✉. Test-Negative Designs with Various Reasons for Testing: Statistical Bias and Solution. Epidemiology, accepted, 2026.

Jianqing Fan*, Zhipeng Lou*, Weichen Wang*, Mengxin(Maxine) Yu* ✉. Spectral Ranking Inferences based on General Multiway Comparisons. Operations Research (OR), 2025, to appear.

• This paper received the IMS New Researcher Travel Award, 2024.

Edgar Dobriban*, Mengxin(Maxine) Yu* ✉. SymmPI: Predictive Inference for Data with Group Symmetries. Journal of the Royal Statistical Society: Series B (JRSSB), 2025, to appear.

Jianqing Fan*, Zhipeng Lou*, Weichen Wang*, Mengxin(Maxine) Yu* ✉. Ranking Inferences Based on the Top Choice of Multiway Comparisons. Journal of the American Statistical Association (JASA), 2025, 120(549), 237–250.

Jianqing Fan* ✉, Jikai Hou* ✉, Mengxin(Maxine) Yu* ✉. Uncertainty Quantification of MLE for Ranking with Covariates. Journal of Machine Learning Research (JMLR), 2024, 25(358), 1-83.

Jianqing Fan* ✉, Zhipeng Lou*, Mengxin(Maxine) Yu*. Are Latent Factor Regression and Sparse Regression Adequate? Journal of the American Statistical Association (JASA), 2024, 119(546), 1076-1088.

Jianqing Fan* ✉, Zhipeng Lou*, Mengxin(Maxine) Yu*. Robust High-dimensional Tuning Free Multiple Testing. Annals of Statistics (AOS), 2023, 51(5), 2093-2115 .

Jianqing Fan* ✉, Yongyi Guo*, Mengxin(Maxine) Yu*. Policy Optimization Using Semiparametric Models for Dynamic Pricing. Journal of the American Statistical Association (JASA), 2023, 119(545), 552–564 .

Jianqing Fan*, Zhuoran Yang* ✉, Mengxin(Maxine) Yu* ✉. Understanding Implicit Regularization in Over-Parameterized Single Index Model. Journal of the American Statistical Association (JASA), 2023, 118(544), 2315-2328 .

Lu Deng* ✉, Mengxin(Maxine) Yu*, Zhengjun Zhang*. Statistical Learning of the Worst Regional Smog Extremes with Dynamic Conditional Modeling. Atmosphere 2020, 11(6), 665 .

Georgy Noarov*, Soham Mallick*, Tao Wang*, Sunay Joshi, Yan Sun, Yangxinyu Xie, Mengxin(Maxine) Yu, Edgar Dobriban ✉. Foundations of Top-k Decoding For Language Models. Neurips 2025, Accepted.

Xinmeng Huang* ✉, Shuo Li* ✉, Mengxin(Maxine) Yu, Matteo Sesia, Hamed Hassani, Insup Lee, Osbert Bastani, Edgar Dobriban ✉. Uncertainty in Language Models: Assessment through Rank-Calibration. Empirical Methods in Natural Language Processing (EMNLP), 2024.