Yihong Wu

16 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0001-9239-7671

Department of Statistics and Data Science, Yale University

Publications

• Poisson empirical Bayes estimation: When does g-modeling beat f-modeling in theory (and in practice)? — The Annals of Statistics 2026 (name-matched, not ORCID-linked)
• Dualizing Le Cam’s method for functional estimation I: General theory — The Annals of Statistics 2026 (name-matched, not ORCID-linked)
• Large-scale multiple testing: Fundamental limits of false discovery rate control and compound oracle — The Annals of Statistics 2026 (name-matched, not ORCID-linked)
• Random Graph Matching at Otter’s Threshold via Counting Chandeliers — Operations Research 2026
• Testing network correlation efficiently via counting trees — The Annals of Statistics 2024
• Optimal estimation of high-dimensional Gaussian location mixtures — The Annals of Statistics 2023
• Heteroskedastic PCA: Algorithm, optimality, and applications — The Annals of Statistics 2022
• Learning mixtures of permutations: Groups of pairwise comparisons and combinatorial method of moments — The Annals of Statistics 2022
• Optimal estimation of Gaussian mixtures via denoised method of moments — The Annals of Statistics 2020
• Optimal rates of entropy estimation over Lipschitz balls — The Annals of Statistics 2020
• Statistical and computational limits for sparse matrix detection — The Annals of Statistics 2020
• Hidden Hamiltonian Cycle Recovery via Linear Programming — Operations Research 2020
• Chebyshev polynomials, moment matching, and optimal estimation of the unseen — The Annals of Statistics 2019
• Submatrix localization via message passing — Journal of Machine Learning Research 2017 (name-matched, not ORCID-linked)
• Computational barriers in minimax submatrix detection — The Annals of Statistics 2015
• Sparse PCA: Optimal rates and adaptive estimation — The Annals of Statistics 2013