编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 08:30-08:55 | 邀请报告 |
A Statistical Hypothesis Testing Framework for Data Misappropriation Detection in Large Language Models |
Linjun Zhang | Rutgers University |
Invited Talk |
A Statistical Hypothesis Testing Framework for Data Misappropriation Detection in Large Language Models |
Linjun Zhang | Rutgers University | ||
2 | 08:55-09:20 | 邀请报告 |
Denoising Diffusions with Optimal Transport: Localization, Curvature, and Multi-Scale Complexity |
Tengyuan Liang | University of Chicago |
Invited Talk |
Denoising Diffusions with Optimal Transport: Localization, Curvature, and Multi-Scale Complexity |
Tengyuan Liang | University of Chicago | ||
3 | 09:20-09:45 | 邀请报告 |
Do Large Language Models Need Statistical Foundations? |
Weijie Su | University of Pennsylvnania |
Invited Talk |
Do Large Language Models Need Statistical Foundations? |
Weijie Su | University of Pennsylvnania |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 00:00-00:00 | 邀请报告 |
Model-assisted and Knowledge-guided Transfer Regression for the Underrepresented Population |
Doudou Zhou | National University of Singapore |
Invited Talk |
Model-assisted and Knowledge-guided Transfer Regression for the Underrepresented Population |
Doudou Zhou | National University of Singapore | ||
2 | 10:30-10:55 | 邀请报告 |
New Evidence for the Predictive Role of Covariate Shift in Treatment Effect Generalization |
Ying Jin | University of Pennsylvania |
Invited Talk |
New Evidence for the Predictive Role of Covariate Shift in Treatment Effect Generalization |
Ying Jin | University of Pennsylvania | ||
3 | 10:55-11:20 | 邀请报告 |
Distributionally robust risk evaluation with an isotonic constraint |
Yu Gui | University of Chicago |
Invited Talk |
Distributionally robust risk evaluation with an isotonic constraint |
Yu Gui | University of Chicago | ||
4 | 11:20-11:45 | 邀请报告 |
A New and Efficient Debiased Estimation of General Treatment Models by Balanced Neural Networks Weighting |
Wei Huang | University of Melbourne |
Invited Talk |
A New and Efficient Debiased Estimation of General Treatment Models by Balanced Neural Networks Weighting |
Wei Huang | University of Melbourne |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 13:30-13:55 | 邀请报告 |
Calibrating Large Language Models to Achieve Tail Risk Control |
Lihua Lei | Stanford University |
Invited Talk |
Calibrating Large Language Models to Achieve Tail Risk Control |
Lihua Lei | Stanford University | ||
2 | 13:55-14:20 | 邀请报告 |
Model-free high-dimensional knockoff inference with privacy constraints |
Zhanrui Cai | The University of Hong Kong |
Invited Talk |
Model-free high-dimensional knockoff inference with privacy constraints |
Zhanrui Cai | The University of Hong Kong | ||
3 | 14:20-14:45 | 邀请报告 |
Data-Utilization at the Core: A Unified Conformalized Multiple Testing Framework |
任好洁 | 上海交通大学 |
Invited Talk |
Data-Utilization at the Core: A Unified Conformalized Multiple Testing Framework |
Haojie Ren | Shanghai Jiao Tong University | ||
4 | 14:45-15:10 | 邀请报告 |
A Tale of Two Cities: Pessimism and Opportunism in Offline Dynamic Pricing |
Zhengling Qi | George Washington University |
Invited Talk |
Boosting In-Context Learning in LLMs Through the Lens of Classical Supervised Learning |
Zhengling Qi | George Washington University |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 15:30-16:03 | 邀请报告 |
Latent Noise Injection for Private and Statistically Aligned Synthetic Data Generation |
Lu Tian | Stanford University |
Invited Talk |
Latent Noise Injection for Private and Statistically Aligned Synthetic Data Generation |
Lu Tian | Stanford University | ||
2 | 16:03-16:36 | 邀请报告 |
Bias reduction in comparative effectiveness research of COVID-19 vaccines |
Qiong Wu | University of Pittsburgh |
Invited Talk |
Inference under Treatment Misclassification in Real-World COVID-19 Vaccine Effectiveness Studies |
Qiong Wu | University of Pittsburgh | ||
3 | 16:36-17:10 | 邀请报告 |
TBD |
Guangyang Wang | Rutgers University |
Invited Talk |
TBD |
Guangyang Wang | Rutgers University |