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2025-07-11 星期五

怀德厅 Huaide Hall

13:30-15:10 | IS068: Recent Advances in Complex Data Analysis IS068: Recent Advances in Complex Data Analysis
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
15:30-17:10 | IS051: Latest on Statistical and Machine Leaning IS051: Latest on Statistical and Machine Leaning
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