NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | invited Session |
Learning Prediction Function of Prior Measures for Statistical Inverse Problems of Partial Differential Equations |
Junxiong Jia | Xi'an Jiaotong University |
2 | 14:25-14:50 | 14:25-14:50 | invited Session |
Advancements in Understanding Over-Parameterized Deep Equilibrium Models: Bridging Theory and Practice |
泽南 凌 | Huazhong University of Science and Technology |
3 | 14:50-15:15 | 14:50-15:15 | invited Session |
Simulation Learning Methodology: Theory, Algorithms, and Applications 模拟学习方法论:理论,算法和应用 |
Jun Shu | Xi’an Jiaotong University |
4 | 15:15-15:40 | 15:15-15:40 | invited Session |
Understanding and Improving LLM Training: Insights into Adam and Advent of Adam-mini |
Ruoyu Sun | The Chinese University of Hong Kong (Shen Zhen) |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:25 | 16:00-16:25 | invited Session |
Controlling the False Discovery Rate in Transformations: Split Knockoffs |
Yuan Yao | The Hong Kong University of Science and Technology |
2 | 16:25-16:50 | 16:25-16:50 | invited Session |
Balancing Personalization and Pooling: Decision-Making and Statistical Inference with Limited Time Horizons |
Yongyi Guo | University of Wisconsin-Madison |
3 | 16:50-17:15 | 16:50-17:15 | invited Session |
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees |
Ying Jin | Stanford University |
4 | 17:15-17:40 | 17:15-17:40 | invited Session |
Large Covariance Matrix Estimation with Factor-Assisted Variable Clustering |
Jiming Jiang | |
5 | 17:40-18:05 | 17:40-18:05 | invited Session |
Enhancing Decision Making with Causal Inference and Unmeasured Confounders in a Bayesian Framework |
Yanxun Xu | Johns Hopkins University |