THE 3RD JOINT CONFERENCE ON STATISTICS AND DATA SCIENCE IN CHINA

2025-07-11 Friday

13:30-15:10 (UTC+8) 13:30-15:10 Local Time | IS076: Advances in Risk and Uncertainty: Modeling, Quantification, and Learning

Organizer：

Chair：

NO.	Beijing Time (UTC+8)	Local Time	Type	Presentation Topic	Speaker	Affiliation / Organization
1	13:30-13:55	13:30-13:55	Invited Talk	Distributional Regression & Uncertainty Quantification with Deep Learning	Patrick Laub	UNSW
2	13:55-14:20	13:55-14:20	Invited Talk	Uncertainty Learning for Portfolio Optimization on Big Data	Yanrong Yang	Australian National University
3	14:20-14:45	14:20-14:45	Invited Talk	A Risk Model with Stochastic Quadratic Intensity	Hongbiao Zhao	Shanghai University of Finance and Economics
4	14:45-15:10	14:45-15:10	Invited Talk	Distributionally Robust Optimization against Ambiguity across Two Layers	Qihe Tang	UNSW Sydney

15:30-17:10 (UTC+8) 15:30-17:10 Local Time | IS077: Modern Approaches to High-Dimensional Analysis

Organizer：

Chair：

NO.	Beijing Time (UTC+8)	Local Time	Type	Presentation Topic	Speaker	Affiliation / Organization
1	15:30-16:03	15:30-16:03	Invited Talk	Transfer Learning for Benignly Overfitted Minimum Norm Interpolator	Yeichan Kim	Yonsei University
2	16:03-16:36	16:03-16:36	Invited Talk	Adaptation and Generalization in High-Dimensional Ising Models Using Transfer Learning	Joonho Kim	Yonsei University
3	16:36-17:10	16:36-17:10	Invited Talk	Iterative Nuclear Norm Minimization for Parameter Estimation in High-Dimensional Multiple Response Models	Hongshin Choi	Yonsei University