activity
20052026
most citedOptimal rates of convergence for covariance matrix estimation

316 citations · 1.7k across the 39 of their papers we have counts for

collaborators

43 papers

stat.ML2026

Computational and Statistical Guarantees of the \textit{c}-Rectified flow

Leda Wang, Zhehao Xu, Qiang Liu +1

Recently, rectified flow has emerged as a fundamental framework for large-scale image generation, powering state-of-the-art systems such as FLUX.1 and Stable Diffusion 3. Despite i…

stat.ML2024★ 2 cited

From optimal score matching to optimal sampling

Zehao Dou, Subhodh Kotekal, Zhehao Xu +1

The recent, impressive advances in algorithmic generation of high-fidelity image, audio, and video are largely due to great successes in score-based diffusion models. A key impleme…

cs.LG2024

Implicit Regularization of Gradient Flow on One-Layer Softmax Attention

Heejune Sheen, Siyu Chen, Tianhao Wang +1

We study gradient flow on the exponential loss for a classification problem with a one-layer softmax attention model, where the key and query weight matrices are trained separately…

math.ST2022★ 3 cited

Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering

Anderson Y. Zhang, Harrison H. Zhou

The singular subspaces perturbation theory is of fundamental importance in probability and statistics. It has various applications across different fields. We consider two arbitrar…

math.ST2022★ 2 cited

Rates of estimation for high-dimensional multi-reference alignment

Zehao Dou, Zhou Fan, Harrison Zhou

We study the continuous multi-reference alignment model of estimating a periodic function on the circle from noisy and circularly-rotated observations. Motivated by analogous high-…

math.ST2020

Optimal estimation of high-dimensional location Gaussian mixtures

Natalie Doss, Yihong Wu, Pengkun Yang +1

This paper studies the optimal rate of estimation in a finite Gaussian location mixture model in high dimensions without separation conditions. We assume that the number of compone…