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2026-07-11 星期六
Hongfeng Meeting Room
13:30-15:10
| Statistical Innovation for Trustworthy AI
| 编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
|---|---|---|---|---|---|
| 1 | 13:30-13:55 | Invited Talk |
A Successive Classification Learning for Estimating Quantile Optimal Treatment Regimes |
Dehan Kong | University of Toronto |
| 2 | 13:55-14:20 | Invited Talk |
Model-Free Checking Meets Cross-Domain Data: A Transfer Learning Approach |
Wangli Xu | Renmin University of China |
| 3 | 14:20-14:45 | Invited Talk |
AI Safe: Statistical Methods for Security Protection from Small to Large Models |
Xiaodong Yan | Xi'an Jiaotong University |
| 4 | 14:45-15:10 | Invited Talk |
Location-Scale Quantile Regression with Functional Responses |
Lingzhu Li | Beijing University of Technology |
15:30-17:10
| Statistical Perspectives on Causal Inference and Modern Machine Learning
| 编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
|---|---|---|---|---|---|
| 1 | 15:30-15:55 | Invited Talk |
A Bayesian Nonparametric Framework for Private, Fair, and Balanced Tabular Data Synthesis |
Linglong Kong | University of Alberta |
| 2 | 15:55-16:20 | Invited Talk |
Generalized Difference-in-Differences with Binary Outcomes |
Zhonghua Liu | Columbia University |
| 3 | 16:20-16:45 | Invited Talk |
Double Machine Learning of Continuous Treatment Effects with General Instrumental Variables |
Yifan Cui | Zhejiang University |
| 4 | 16:45-17:10 | Invited Talk |
A General Framework for Fair and Robust Regression |
Wen Su | City University of Hong Kong |
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