第三届全国统计与数据科学联合会议

2025-07-11 星期五

13:30-15:10 | IS068: Recent Advances in Complex Data Analysis IS068: Recent Advances in Complex Data Analysis

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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 | IS029: Foundations and Applications of Modern Machine Learning IS029: Foundations and Applications of Modern Machine Learning

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编号	时间	类型	题目	讲者	单位
1	15:30-15:55	邀请报告	Statistical Generative Models for Unstructured Image Data	Guohao Shen	The Hong Kong Polytechnic University
		Invited Talk	Statistical Generative Models for Unstructured Image Data	Guohao Shen	The Hong Kong Polytechnic University
2	15:55-16:20	邀请报告	D-CDLF: Decomposition of Common and Distinctive Latent Factors for Multi-view High-dimensional Data	Hai Shu	New York University
		Invited Talk	D-CDLF: Decomposition of Common and Distinctive Latent Factors for Multi-view High-dimensional Data	Hai Shu	New York University
3	16:20-16:45	邀请报告	Doubly robust alignment for large language models	史成春	London school of economics and political science
		Invited Talk	Doubly robust alignment for large language models	Chengchun Shi	London school of economics and political science