第三届全国统计与数据科学联合会议

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2025-07-12 星期六

至诚室 Zhicheng Room

13:30-15:10 | CS014: Advances in High-Dimensional Learning and Optimization CS014: Advances in High-Dimensional Learning and Optimization

编号	时间	类型	题目	讲者	单位
1	13:30-13:50	贡献报告	Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton	廖振宇	华中科技大学
		Contributed Talk	Fundamental Bias in Inverting Random Sampling Matrices with Application to Sub-sampled Newton	Zhenyu Liao	Huazhong Universityf of Science and Technology
2	13:50-14:10	贡献报告	Deep batch learning in high-dimensional nonparametric contextual bandits	许赵辉	中国科学技术大学
		Contributed Talk	Deep batch learning in high-dimensional nonparametric contextual bandits	Zhaohui Xu	University of Science and Technology
3	14:10-14:30	贡献报告	Kernel Ridge Regression with Predicted Feature Inputs and Applications to Factor-Based Nonparametric Regression	王　超	上海财经大学
		Contributed Talk	Kernel Ridge Regression with Predicted Feature Inputs and Applications to Factor-Based Nonparametric Regression	Chao Wang	Shanghai University of Finance and Economics
4	14:30-14:50	贡献报告	Random k conditional nearest neighbor for high-dimensional data	JIAXUAN LU	Western University
		Contributed Talk	Random k conditional nearest neighbor for high-dimensional data	JIAXUAN LU	Western University
5	14:50-15:10	贡献报告	Optimal and exact recovery on general non-uniform Hypergraph Stochastic Block Model	Haixiao Wang	University of California, San Diego
		Contributed Talk	Optimal and exact recovery on general non-uniform Hypergraph Stochastic Block Model	Haixiao Wang	University of California, San Diego

15:30-17:10 | IS089: Statistics for Reliable AI IS089: Statistics for Reliable AI

组织者：

杨宇红清华大学

Organizer：

Yuhong Yang Tsinghua University

主持人：

杨宇红清华大学

Chair：

Yuhong Yang Tsinghua University

编号	时间	类型	题目	讲者	单位
1	15:30-16:03	邀请报告	Multi-Human-Value Alignment Palette For Safe and Personalized Generative AI	Jie Ding	University of Minnesota
		Invited Talk	MAP: Multi-Human-Value Alignment Palette for Safe and Personalized Generative AI	Jie Ding	University of Minnesota
2	16:03-16:36	邀请报告	Adversarial Learning for Nonparametric Regression: Minimax Rate and Adaptive Estimation	彭镜夫	清华大学
		Invited Talk	Adversarial Learning for Nonparametric Regression: Minimax Rate and Adaptive Estimation	Jingfu Peng	Tsinghua University
3	16:36-17:10	邀请报告	Greedy Algorithm for High-dimensional Generalized Linear Model Selection under Covariate Shift	Ching-Kang Ing	National Tsing Hua University
		Invited Talk	Greedy Algorithms for High-Dimensional Generalized Linear UnderCovariate Shift	Ching-Kang Ing	National Tsing Hua University

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