NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 11:00-11:25 | 11:00-11:25 | Invited Talk |
A probability approximation framework with applications |
Lihu Xu | |
2 | 11:25-11:50 | 11:25-11:50 | Invited Talk |
Cramer's moderate deviations for martingales with applications |
Xiequan Fan | |
3 | 11:50-12:15 | 11:50-12:15 | Invited Talk |
Cramér-type Moderate Deviation for Quadratic Forms with a Fast Rate |
Songhao Liu | |
4 | 12:15-12:40 | 12:15-12:40 | Invited Talk |
Cramér-type moderate deviations for local dependent random variables |
Zhuosong Zhang |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | Invited Talk |
Deep Nonparametric Estimation: Approximation, Generalization, and Overparameterization |
Yuling Jiao | |
2 | 14:25-14:50 | 14:25-14:50 | Invited Talk |
A Sequential Addressing Subsampling Method for Massive Data Analysis under Memory Constraint |
Yingqiu Zhu | |
3 | 14:50-15:15 | 14:50-15:15 | Invited Talk |
Nonasymptotic theory for two-layer neural networks: Beyond the bias-variance trade-off |
Wei Lin | |
4 | 15:15-15:40 | 15:15-15:40 | Invited Talk |
Grid Point Approximation for Distributed Nonparametric Smoothing and Prediction |
Yuan Gao |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:25 | 16:00-16:25 | Invited Talk |
An efficient tensor regression for high-dimensional data |
Guodong Li | University of Hong Kong |
2 | 16:25-16:50 | 16:25-16:50 | Invited Talk |
Dimension agnostic change point detection |
Xiaofeng Shao | University of Illinois at Urbana-Champaign |
3 | 16:50-17:15 | 16:50-17:15 | Invited Talk |
A Two-Way Heterogeneity Model For Dynamic Networks |
Binyan Jiang | Hong Kong Polytechnic University |
4 | 17:15-17:40 | 17:15-17:40 | Invited Talk |
Factor Modelling for Clustering High-dimensional Time Series |
bo zhang |