Selected Work

• Ben Adcock, Bernhard Hientzsch, Akil Narayan, Yiming Xu, Hybrid least squares for learning functions from highly noisy data, SIAM Journal on Mathematics of Data Science (to appear)
• Thomas Dixon, Alex Gorodetsky, John Jakeman, Akil Narayan, Yiming Xu, Optimally balancing exploration and exploitation to automate multi-fidelity statistical estimation, SIAM/ASA Journal on Uncertainty Quantification (2026)
• Pinjun Dong, Ruijian Han, Binyan Jiang, Yiming Xu, Statistical ranking with dynamic covariates, Journal of the Royal Statistical Society: Series B (2026)
• Tom Alberts, Yiming Xu, Qiang Ye, Joint stochastic localization and applications, arxiv (2025)
• Ruijian Han, Yiming Xu, A unified analysis of likelihood-based estimators in the Plackett-Luce model, The Annals of Statistics (2025)