NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 13:30-13:50 | 13:30-13:50 | 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 | 13:50-14:10 | Contributed Talk |
Deep batch learning in high-dimensional nonparametric contextual bandits |
Zhaohui Xu | University of Science and Technology |
3 | 14:10-14:30 | 14:10-14:30 | 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 | 14:30-14:50 | Contributed Talk |
Random k conditional nearest neighbor for high-dimensional data |
JIAXUAN LU | Western University |
5 | 14:50-15:10 | 14:50-15:10 | Contributed Talk |
Optimal and exact recovery on general non-uniform Hypergraph Stochastic Block Model |
Haixiao Wang | University of California, San Diego |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 15:30-16:03 | 15:30-16:03 | Invited Talk |
MAP: Multi-Human-Value Alignment Palette for Safe and Personalized Generative AI |
Jie Ding | University of Minnesota |
2 | 16:03-16:36 | 16:03-16:36 | Invited Talk |
Adversarial Learning for Nonparametric Regression: Minimax Rate and Adaptive Estimation |
Jingfu Peng | Tsinghua University |
3 | 16:36-17:10 | 16:36-17:10 | Invited Talk |
Greedy Algorithms for High-Dimensional Generalized Linear UnderCovariate Shift |
Ching-Kang Ing | National Tsing Hua University |