Anderson Y. Zhang

13 papers A* 1Journal 12
YearRankTypeTitle / Venue / Authors
2023 A* conf
Efficient and Accurate Learning of Mixtures of Plackett-Luce Models.
AAAI
Duc Nguyen, Anderson Y. Zhang
2023 J jnl
Efficient and Accurate Learning of Mixtures of Plackett-Luce Models.
CoRR
Duc Nguyen, Anderson Y. Zhang
2023 J jnl
Optimal and Private Learning from Human Response Data.
CoRR
Duc Nguyen, Anderson Y. Zhang
2022 J jnl
Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering.
CoRR
Anderson Y. Zhang, Harrison H. Zhou
2022 J jnl
SDP Achieves Exact Minimax Optimality in Phase Synchronization.
IEEE Trans. Inf. Theory
Chao Gao, Anderson Y. Zhang
2021 J jnl
Exact Minimax Estimation for Phase Synchronization.
IEEE Trans. Inf. Theory
Chao Gao, Anderson Y. Zhang
2021 J jnl
Optimal Clustering in Anisotropic Gaussian Mixture Models.
CoRR
Xin Chen, Anderson Y. Zhang
2019 J jnl
Optimality of Spectral Clustering for Gaussian Mixture Model.
CoRR
Matthias Löffler, Anderson Y. Zhang, Harrison H. Zhou
2017 J jnl
Achieving Optimal Misclassification Proportion in Stochastic Block Models.
J. Mach. Learn. Res.
Chao Gao, Zongming Ma, Anderson Y. Zhang, Harrison H. Zhou
2017 J jnl
Theoretical and Computational Guarantees of Mean Field Variational Inference for Community Detection.
CoRR
Anderson Y. Zhang, Harrison H. Zhou
2016 J jnl
Community Detection in Degree-Corrected Block Models.
CoRR
Chao Gao, Zongming Ma, Anderson Y. Zhang, Harrison H. Zhou
2015 J jnl
Achieving Optimal Misclassification Proportion in Stochastic Block Model.
CoRR
Chao Gao, Zongming Ma, Anderson Y. Zhang, Harrison H. Zhou
2015 J jnl
Minimax Rates of Community Detection in Stochastic Block Models.
CoRR
Anderson Y. Zhang, Harrison H. Zhou