第三届全国统计与数据科学联合会议

2025-07-12 星期六

13:30-15:10 | IS015: Recent Advances in Statistical Network Analysis IS015: Recent Advances in Statistical Network Analysis

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编号	时间	类型	题目	讲者	单位
1	13:30-13:55	邀请报告	Pseudo-Likelihood Ratio Screening based on Network Data with Applications	黄丹阳	中国人民大学
		Invited Talk	Pseudo-Likelihood Ratio Screening based on Network Data with Applications	Danyang Huang	Renmin University of China
2	13:55-14:20	邀请报告	BASIC: Bipartite Assisted Spectral-clustering for Identifying Communities in Large-scale Networks	刘婧媛	厦门大学
		Invited Talk	BASIC: Bipartite Assisted Spectral-clustering for Identifying Communities in Large-scale Networks	Jingyuan Liu	Xiamen University
3	14:20-14:45	邀请报告	Nonparametric learning of heterogeneous graphical model on network-linked data	王裕文	香港中文大学
		Invited Talk	Nonparametric learning of heterogeneous graphical model on network-linked data	Yuwen Wang	Chinese University of Hong Kong
4	14:45-15:10	邀请报告	A preferential latent space model for text networks	Jingfei Zhang	Emory University
		Invited Talk	A preferential latent space model for text networks	Jingfei Zhang	Emory University

15:30-17:10 | IS016: Recent Progress in Statistical Machine Learning IS016: Recent Progress in Statistical 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	Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective	Yifan Hu	Rutgers
		Invited Talk	Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective	Yifan Hu	Rutgers
2	15:55-16:20	邀请报告	When Few Labeled Target Data Suffices: A Theory of Semi-Supervised Domain Adaptation (SSDA)	Yuansi Chen	ETH Zürich
		Invited Talk	When Few Labeled Target Data Suffices: A Theory of Semi-Supervised Domain Adaptation (SSDA)	Yuansi Chen	ETH Zürich
3	16:20-16:45	邀请报告	A Unified Framework for Large-Scale Classification: Error Rate Control and Optimality	夏　寅	复旦大学
		Invited Talk	A Unified Framework for Large-Scale Classification: Error Rate Control and Optimality	Yin Xia	Fudan University
4	16:45-17:10	邀请报告	Robust Reinforcement Learning under Diffusion Models for Data with Jumps	Yazhen Wang	University of Wisconsin-Madison
		Invited Talk	Robust Reinforcement Learning under Diffusion Models for Data with Jumps	Yazhen Wang	University of Wisconsin-Madison