معرفی
Zhaoyang Shi is a Postdoctoral Research Fellow in the Department of Statistics at Harvard University. His research develops statistical methods for geometric and topological data analysis.
Research interests include network analysis, manifold learning, nonparametric methods, and kernel-based approaches. Current work focuses on normal approximation techniques for machine learning algorithms and nonparametric regression using spectral graph methods.
Publications demonstrate strong theoretical focus, with recent work establishing minimax rates for Laplacian-based regression and Gaussian approximation methods for random forests.
۰مقاله ثبتشده
