Support

My research is currently supported by Microsoft Research. 

Topic: Graph Machine Learning; Role: Co-PI; PI: Cencheng Shen.

Selected Publications and Preprints

(* :corresponding author)  

Zhao, P., Niu, Y.   Robust High-Dimensional Covariate-Assisted Network Modeling.

Zhao, P.*,  Bhattacharya, A., Pati, D., Mallick, B.  Factorized Fusion Shrinkage for Dynamic Relational Data. 

Zhao, P.*,  Bhattacharya, A., Pati, D., Mallick, B.  Structured Optimal Variational Inference for Dynamic Latent Space Models.  Journal of Machine Learning Research, 25(259):1−55, 2024.

Lee, S., Zhao, P., Pati, D., Mallick, B. Tail-adaptive Bayesian Shrinkage.  Electronic Journal of Statistic,18(2): 4667-4723 (2024). 

Lee, K., Zhao, P., Bhattacharya, A., Mallick, B., Xie, L. An Active Learning-based Approach for Hosting Capacity Analysis in Distribution Systems. IEEE Transactions on Smart Grid, Volume: 15, Issue: 1, January 2024, 617 - 626.     

Zhao, P., Yang, H-C., Dey, D.K., Hu, G. Spatial Clustering Regression of Count Value Data via Bayesian Mixture of Finite Mixtures. KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 3504–3512.

Zhao, P.*, Yang Y., He Q-C. (2022) High-Dimensional Linear Regression via Implicit Regularization. Biometrika, Volume 109, Issue 4, December 2022, 1033-1046.

Zhao, P., Hu, G. (2021)  Approximate Bayesian Estimation with Subsampled Logistic Regression Big Data Settings. IEEE Big Data 2021, 58-64.