编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 13:30-13:50 | 邀请报告 |
Mean shift for functional data: a scalable algorithm and convergence analysis |
Su-Yun Huang | Academia Sinica |
Invited Talk |
Mean shift for functional data: a scalable algorithm and convergence analysis |
Su-Yun Huang | Academia Sinica | ||
2 | 13:50-14:10 | 邀请报告 |
Bivariate Analysis of Distribution Functions Under Biased Sampling |
Hsin-wen Chang | Institute of Statistical Science, Academia Sinica |
Invited Talk |
Bivariate Analysis of Distribution Functions Under Biased Sampling |
Hsin-wen Chang | Institute of Statistical Science, Academia Sinica | ||
3 | 14:10-14:30 | 邀请报告 |
Coordinate testing for general sufficient dimension reduction methods |
Shih-Hao Huang | National Central University |
Invited Talk |
Coordinate testing for general sufficient dimension reduction methods |
Shih-Hao Huang | National Central University | ||
4 | 14:30-14:50 | 邀请报告 |
Graphical modeling of multivariate inhomogeneous spatial point processes |
Junho Yang | Institute of Statistical Science, Academia Sinica |
Invited Talk |
Graphical modeling of multivariate inhomogeneous spatial point processes |
Junho Yang | Institute of Statistical Science, Academia Sinica | ||
5 | 14:50-15:10 | 邀请报告 |
Exploring the relationship between the geometry of a fixed embedding of image data and its underlying cluster structure |
Chen-Hsiang Yeang | Academia Sinica |
Invited Talk |
Exploring the relationship between the geometry of a fixed embedding of image data and its underlying cluster structure |
Chen-Hsiang Yeang | Academia Sinica |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 15:30-15:55 | 邀请报告 |
Learning with Shared Representations: Statistical Rates and Optimal Algorithms |
杨朋昆 | 清华大学 |
Invited Talk |
Learning with Shared Representations: Statistical Rates and Optimal Algorithms |
Pengkun Yang | Tsinghua University | ||
2 | 15:55-16:20 | 邀请报告 |
Optimal Variable Clustering for High-Dimensional Matrix Valued Data |
Yang Ning | Cornell University |
Invited Talk |
Optimal Variable Clustering for High-Dimensional Matrix Valued Data |
Yang Ning | Cornell University | ||
3 | 16:20-16:45 | 邀请报告 |
Distributional learning via deep copula density weighting |
闫 晗 | 北京大学 |
Invited Talk |
Distributional learning via deep copula density weighting |
Han Yan | Peking University | ||
4 | 16:45-17:10 | 邀请报告 |
Supporting Evidences for the Adaptive Feature Approach |
林 乾 | 清华大学 |
Invited Talk |
Supporting Evidences for the Adaptive Feature Approach |
Qian Lin | Tsinghua University |