编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 13:30-13:55 | 邀请报告 |
Distributional Regression & Uncertainty Quantification with Deep Learning |
Patrick Laub | UNSW |
Invited Talk |
Distributional Regression & Uncertainty Quantification with Deep Learning |
Patrick Laub | UNSW | ||
2 | 13:55-14:20 | 邀请报告 |
Uncertainty Learning for Portfolio Optimization on Big Data |
Yanrong Yang | Australian National University |
Invited Talk |
Uncertainty Learning for Portfolio Optimization on Big Data |
Yanrong Yang | Australian National University | ||
3 | 14:20-14:45 | 邀请报告 |
A Risk Model with Stochastic Quadratic Intensity |
赵宏飙 | 上海财经大学 |
Invited Talk |
A Risk Model with Stochastic Quadratic Intensity |
Hongbiao Zhao | Shanghai University of Finance and Economics | ||
4 | 14:45-15:10 | 邀请报告 |
Distributionally Robust Optimization against Ambiguity across Two Layers |
Qihe Tang | UNSW Sydney |
Invited Talk |
Distributionally Robust Optimization against Ambiguity across Two Layers |
Qihe Tang | UNSW Sydney |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 15:30-16:03 | 邀请报告 |
Transfer Learning for Benignly Overfitted Minimum Norm Interpolator |
Yeichan Kim | Yonsei University |
Invited Talk |
Transfer Learning for Benignly Overfitted Minimum Norm Interpolator |
Yeichan Kim | Yonsei University | ||
2 | 16:03-16:36 | 邀请报告 |
Adaptation and Generalization in High-Dimensional Ising Models Using Transfer Learning |
Joonho Kim | Yonsei University |
Invited Talk |
Adaptation and Generalization in High-Dimensional Ising Models Using Transfer Learning |
Joonho Kim | Yonsei University | ||
3 | 16:36-17:10 | 邀请报告 |
Iterative Nuclear Norm Minimization for Parameter Estimation in High-Dimensional Multiple Response Models |
Hongshin Choi | Yonsei University |
Invited Talk |
Iterative Nuclear Norm Minimization for Parameter Estimation in High-Dimensional Multiple Response Models |
Hongshin Choi | Yonsei University |