| High-Dimensional Linear Regression via Implicit Regularization P Zhao, Y Yang, QC He Biometrika, 2022, https://doi.org/10.1093/biomet/asac010 109 (4), 1033–1046, 2022 | 47* | 2022 |
| Spatial Clustering Regression of Count Value Data via Bayesian Mixture of Finite Mixtures P Zhao, HC Yang, DK Dey, G Hu KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge …, 2023 | 15* | 2023 |
| Tail-adaptive Bayesian shrinkage SY Lee, P Zhao, D Pati, BK Mallick arXiv preprint arXiv:2007.02192, 2020 | 4 | 2020 |
| Structured optimal variational inference for dynamic latent space models P Zhao, A Bhattacharya, D Pati, BK Mallick arXiv preprint arXiv:2209.15117, 2022 | 2 | 2022 |
| An Active Learning-based Approach for Hosting Capacity Analysis in Distribution Systems K Lee, P Zhao, A Bhattacharya, BK Mallick, L Xie IEEE Transactions on Smart Grid, DOI: 10.1109/TSG.2023.3290414, 2023 | 1 | 2023 |
| An Approximate Bayesian Approach to Covariate-dependent Graphical Modeling S Dasgupta, P Zhao, J Helwig, P Ghosh, D Pati, BK Mallick arXiv preprint arXiv:2303.08979, 2023 | 1 | 2023 |
| Query-decision Regression between Shortest Path and Minimum Steiner Tree G Tong, P Zhao, M Samizadeh arXiv preprint arXiv:2402.02211, 2024 | | 2024 |
| Factorized Fusion Shrinkage for Dynamic Relational Data P Zhao, A Bhattacharya, D Pati, BK Mallick arXiv preprint arXiv:2210.00091v2, 2023 | | 2023 |
| Package ‘covdepGE’ J Helwig, S Dasgupta, P Zhao, B Mallick, D Pati, MJ Helwig | | 2022 |
| Approximate Bayesian Estimation with Subsampled Logistic Regression in Big Data Settings P Zhao, G Hu 2021 IEEE International Conference on Big Data (Big Data), 58-64, 2021 | | 2021 |
| Discussion of “Multilevel Linear Models, Gibbs Samplers and Multigrid Decompositions" P Zhao, H Yang, G Hu Bayesian Analysis 16 (4), 1383-1385, 2021 | | 2021 |
Yun YangUniversity of Illinois Urbana-ChampaignBestätigte E-Mail-Adresse bei illinois.edu
