Anderson Ye Zhang

Office: 444 Jon M. Huntsman Hall
3730 Walnut Street
Philadelphia, PA 19104
Email: ayz@wharton.upenn.edu
Homepage: http://www.andersonzhang.com

Personal Information

I'm an assistant professor in Department of Statistics at the Wharton School, the University of Pennsylvania. Before joining Wharton, I was a William H. Kruskal Instructor in Department of Statistics at the University of Chicago. I obtained my PhD degree from Department of Statistics and Data Science at Yale University, advised by Professor Harrison Zhou. I have a broad interest in the theory and application of statistics and machine learning. My current research interests include:

Teaching

STAT 431: Statistical Inference (Fall 2019)
STAT 24500: Statistical Theory and Method 2 (Spring 2019, University of Chicago)
STAT 22000: Statistical Methods and Applications (Fall 2018, University of Chicago)

Research

Partial Recovery for Top-k Ranking: Optimality of MLE and Sub-Optimality of Spectral Method
Chen, P., Gao, C., and Zhang, A.
Submitted.
[arXiv]

Optimality of Spectral Clustering for Gaussian Mixture Model
Loffler, M., Zhang, A., and Zhou, H.
Submitted.
[arXiv]

Iterative Algorithm for Discrete Structure Recovery
Gao, C. and Zhang, A.
Submitted.
[arXiv]

Theoretical and Computational Guarantees of Mean Field Variational Inference for Community Detection
Zhang, A., and Zhou, H.
Annals of Statistics. Accepted (2019+)
[PDF] [AoS] [arXiv]

Community Detection in Degree-Corrected Block Models
Gao, C., Ma, Z., Zhang, A., and Zhou, H.
Annals of Statistics. 46.5 (2018): 2153-2185
[PDF] [AoS] [arXiv]

Achieving Optimal Misclassification Proportion in Stochastic Block Model
Gao, C., Ma, Z., Zhang, A., and Zhou, H.
Journal of Machine Learning Research. 18.60 (2017): 1-45
Best Student Paper Award, The 29th New England Statistical Symposium, April 2015
[PDF] [JMLR] [arXiv]

Minimax Rates of Community Detection in Stochastic Block Models
Zhang, A., and Zhou, H.
Annals of Statistics. 44.5 (2016): 2252-2280
One of the four selected papers presented in Annals of Statistics Special Invited Session in JSM 2017
[PDF] [AoS] [arXiv]

Discussion on "Minimax Optimal Procedures for Locally Private Estimation"
Zhang, A., and Zhou, H.
Journal of the American Statistical Association. 113.521 (2018): 201-203
[PDF] [JASA]

Dissertation "Community Detection: Fundamental Limits, Methodology, and Variational Inference"
[PDF] [ProQuest]

Experience

Research Intern, Yahoo! Research, 2017.6-2017.8
Statistics Consultant, Yale StatLab, 2015.11-2017.5