编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 14:00-14:25 | 邀请报告 |
Gaussian Differential Privacy on Riemannian Manifolds |
Linglong Kong | University of Alberta |
2 | 14:25-14:50 | 邀请报告 |
Unveiling Enhanced Privacy in Data Science via Statistical Methods |
Chendi Wang | University of Pennsyvania |
3 | 14:50-15:15 | 邀请报告 |
Differentially Private Estimation and Inference in High-Dimensional Regression with FDR Control |
Zhanrui Cai | The University of Hong Kong |
4 | 15:15-15:40 | 邀请报告 |
Online Local Differential Private Quantile Inference via Self-Normalization |
Bei Jiang | University of Alberta |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 16:00-16:25 | 邀请报告 |
Statistical Foundations of Deep Generative Models |
Lizhen Lin | University of Maryland |
2 | 16:25-16:50 | 邀请报告 |
Autoregressive Networks with Dependent Edges |
Qiwei Yao | London School of Economics |
3 | 16:50-17:15 | 邀请报告 |
Analysis of Large Networks |
金加顺 | Carnegie Mellon University |
4 | 17:15-17:40 | 邀请报告 |
High-Order Singular Value Decomposition in Tensor Analysis |
Anru Zhang | Duke University |