Achieving Optimal Misclassification Proportion in Stochastic Block Model. - Chao Gao; Zongming Ma; Anderson Y. Zhang; Harrison H. Zhou (CoRR, 2015)

Minimax Rates of Community Detection in Stochastic Block Models. - Anderson Y. Zhang; Harrison H. Zhou (CoRR, 2015)

Law of log determinant of sample covariance matrix and optimal estimation of differential entropy for high-dimensional Gaussian distributions. - T. Tony Cai; Tengyuan Liang; Harrison H. Zhou (J. Multivar. Anal., 2015)

Community Detection in Degree-Corrected Block Models. - Chao Gao; Zongming Ma; Anderson Y. Zhang; Harrison H. Zhou (CoRR, 2016)

Statistical and Computational Guarantees of Lloyd's Algorithm and its Variants. - Yu Lu; Harrison H. Zhou (CoRR, 2016)

Optimal Estimation and Completion of Matrices with Biclustering Structures. - Chao Gao; Yu Lu; Zongming Ma; Harrison H. Zhou (J. Mach. Learn. Res., 2016)

Theoretical and Computational Guarantees of Mean Field Variational Inference for Community Detection. - Anderson Y. Zhang; Harrison H. Zhou (CoRR, 2017)

Achieving Optimal Misclassification Proportion in Stochastic Block Models. - Chao Gao; Zongming Ma; Anderson Y. Zhang; Harrison H. Zhou (J. Mach. Learn. Res., 2017)

Testing for Balance in Social Networks. - Derek Feng; Randolf Altmeyer; Derek Stafford; Nicholas A. Christakis; Harrison H. Zhou (CoRR, 2018)

Randomly initialized EM algorithm for two-component Gaussian mixture achieves near optimality in O(√n) iterations. - Yihong Wu 001; Harrison H. Zhou (CoRR, 2019)

Optimality of Spectral Clustering for Gaussian Mixture Model. - Matthias Löffler; Anderson Y. Zhang; Harrison H. Zhou (CoRR, 2019)

Optimal estimation of high-dimensional Gaussian mixtures. - Natalie Doss; Yihong Wu 001; Pengkun Yang; Harrison H. Zhou (CoRR, 2020)

Connectome-Based Predictive Modelling With Missing Connectivity Data Using Robust Matrix Completion. - Qinghao Liang; Sahand Negahban; Joseph Chang; Harrison H. Zhou; Dustin Scheinost (ISBI, 2021)

Transforming Connectomes to "Any" Parcellation via Graph Matching. - Qinghao Liang; Javid Dadashkarimi; Wei Dai; Amin Karbasi; Joseph Chang; Harrison H. Zhou; Dustin Scheinost (ISGIE/GRAIL@MICCAI, 2022)

Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering. - Anderson Y. Zhang; Harrison H. Zhou (CoRR, 2022)

Implicit Regularization of Gradient Flow on One-Layer Softmax Attention. - Heejune Sheen; Siyu Chen 001; Tianhao Wang 002; Harrison H. Zhou (CoRR, 2024)

From optimal score matching to optimal sampling. - Zehao Dou; Subhodh Kotekal; Zhehao Xu; Harrison H. Zhou (CoRR, 2024)