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 | IS047: Recent advances in tensor data analysis IS047: Recent advances in tensor data analysis

组织者：

Organizer：

主持人：

Chair：

编号	时间	类型	题目	讲者	单位
1	13:30-13:55	邀请报告	Theoretical Guarantees for Alternative Least Square Algorithm in Tensor CP Decomposition	Anru Zhang	Duke University
		Invited Talk	Theoretical Guarantees for Alternative Least Square Algorithm in Tensor CP Decomposition	Anru Zhang	Duke University
2	13:55-14:20	邀请报告	Statistical Inference for Low-Rank Tensor Models	Yuefeng Han	University of Notre Dame
		Invited Talk	Statistical Inference for Low-Rank Tensor Models	Yuefeng Han	University of Notre Dame
3	14:20-14:45	邀请报告	Robust and Optimal Tensor Estimation via Robust Gradient Descent	张晓昱	同济大学
		Invited Talk	Robust and Optimal Tensor Estimation via Robust Gradient Descent	Xiaoyu Zhang	Tongji University
4	14:45-15:10	邀请报告	Robust Matrix Estimation with Kronecker Product Structures via Scaled Projected Gradient Descent	王　迪	上海交通大学
		Invited Talk	Robust Matrix Estimation with Kronecker Product Structures via Scaled Projected Gradient Descent	Di Wang	Shanghai Jiao Tong University

15:30-17:10 | IS048: Recent advances in statistical learning and machine learning IS048: Recent advances in statistical learning and machine learning

组织者：

Organizer：

主持人：

Chair：

编号	时间	类型	题目	讲者	单位
1	15:30-15:55	邀请报告	Privacy Introduces Minor Trade-Offs in Fine-Tuning: A Representation Learning Perspective	王晨笛	厦门大学
		Invited Talk	Privacy Introduces Minor Trade-Offs in Fine-Tuning: A Representation Learning Perspective	Chendi Wang	Xiamen University
2	15:55-16:20	邀请报告	Generalizability through the Lens of Distributional Learning	Xinwei Shen	ETH Zurich
		Invited Talk	Generalizability through the Lens of Distributional Learning	Xinwei Shen	ETH Zurich
3	16:20-16:45	邀请报告	Multi-source stable variable importance measure via adversarial machine	Molei Liu	Peking University
		Invited Talk	Multi-source stable variable importance measure via adversarial machine	Molei Liu	Peking University
4	16:45-17:10	邀请报告	Sparsity-Induced Global Matrix Autoregressive Model with Auxiliary Network Data	Dan Yang	The University of Hong Kong
		Invited Talk	Sparsity-Induced Global Matrix Autoregressive Model with Auxiliary Network Data	Dan Yang	The University of Hong Kong