NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | invited Session |
Gaussian Differential Privacy on Riemannian Manifolds |
Linglong Kong | University of Alberta |
2 | 14:25-14:50 | 14:25-14:50 | invited Session |
Unveiling Enhanced Privacy in Data Science via Statistical Methods |
Chendi Wang | University of Pennsyvania |
3 | 14:50-15:15 | 14:50-15:15 | invited Session |
Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control |
Zhanrui Cai | The University of Hong Kong |
4 | 15:15-15:40 | 15:15-15:40 | invited Session |
Online Local Differential Private Quantile Inference via Self-Normalization |
Bei Jiang | University of Alberta |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:25 | 16:00-16:25 | invited Session |
Statistical Foundations of Deep Generative Models |
Lizhen Lin | |
2 | 16:25-16:50 | 16:25-16:50 | invited Session |
Autoregressive Networks with Dependent Edges |
Qiwei Yao | |
3 | 16:50-17:15 | 16:50-17:15 | invited Session |
Analysis of Large Networks |
Jiashun Jin | carnegie mellon university |
4 | 17:15-17:40 | 17:15-17:40 | invited Session |
High-Order Singular Value Decomposition in Tensor Analysis |
Anru Zhang | Duke University |