Anderson Y. Zhang

Orcid: 0009-0006-0617-832X

According to our database1, Anderson Y. Zhang authored at least 18 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Fundamental Limits of Spectral Clustering in Stochastic Block Models.
IEEE Trans. Inf. Theory, October, 2024

Achieving Optimal Clustering in Gaussian Mixture Models with Anisotropic Covariance Structures.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Novel Spectral Algorithms for the Partial Credit Model.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
A Novel and Optimal Spectral Method for Permutation Synchronization.
CoRR, 2023

Optimal and Private Learning from Human Response Data.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Efficient and Accurate Learning of Mixtures of Plackett-Luce Models.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
SDP Achieves Exact Minimax Optimality in Phase Synchronization.
IEEE Trans. Inf. Theory, 2022

Exact Minimax Optimality of Spectral Methods in Phase Synchronization and Orthogonal Group Synchronization.
CoRR, 2022

Leave-one-out Singular Subspace Perturbation Analysis for Spectral Clustering.
CoRR, 2022

A Spectral Approach to Item Response Theory.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Exact Minimax Estimation for Phase Synchronization.
IEEE Trans. Inf. Theory, 2021

Optimal Clustering in Anisotropic Gaussian Mixture Models.
CoRR, 2021

2019
Optimality of Spectral Clustering for Gaussian Mixture Model.
CoRR, 2019

2017
Achieving Optimal Misclassification Proportion in Stochastic Block Models.
J. Mach. Learn. Res., 2017

Theoretical and Computational Guarantees of Mean Field Variational Inference for Community Detection.
CoRR, 2017

2016
Community Detection in Degree-Corrected Block Models.
CoRR, 2016

2015
Minimax Rates of Community Detection in Stochastic Block Models.
CoRR, 2015

Achieving Optimal Misclassification Proportion in Stochastic Block Model.
CoRR, 2015


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