Selected Work

Random sampling

1. Tom Alberts, Yiming Xu, Qiang Ye, Joint stochastic localization and applications, arxiv (2026)
2. Ben Adcock, Bernhard Hientzsch, Akil Narayan, Yiming Xu, Hybrid least squares for learning functions from highly noisy data, SIAM J. Math. Data Sci. (to appear)
3. Reza Gheissari, Aukosh Jagannath, Yiming Xu, Finding planted cliques using gradient descent, SIAM J. Math. Data Sci. (2025)
4. Yiming Xu, Akil Narayan, Randomized weakly admissible meshes, J. Approx. Theory (2023)

Statistical ranking

1. Pinjun Dong, Ruijian Han, Binyan Jiang, Yiming Xu, Statistical ranking with dynamic covariates, J. R. Stat. Soc. Ser. B Methodol. (2026)
2. Ruijian Han, Yiming Xu, A unified analysis of likelihood-based estimators in the Plackett-Luce model, Ann. Stat. (2025)
3. Ruijian Han, Yiming Xu, Kani Chen, A general pairwise comparison model for extremely sparse networks, J. Amer. Statist. Assoc. (2023)

Multifidelity methods

1. Thomas Dixon, Alex Gorodetsky, John Jakeman, Akil Narayan, Yiming Xu, Optimally balancing exploration and exploitation to automate multi-fidelity statistical estimation, SIAM/ASA J. Uncertain. Quantif. (to appear)
2. Ruijian Han, Boris Kramer, Dongjin Lee, Akil Narayan, Yiming Xu, An approximate control variates approach to multifidelity distribution estimation, SIAM/ASA J. Uncertain. Quantif. (2024)
3. Yiming Xu, Vahid Keshavarzzadeh, Robert M. Kirby, Akil Narayan, A bandit-learning approach to multifidelity approximation, SIAM J. Sci. Comput. (2022)