编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 14:00-14:25 | 邀请报告 |
Enhancing High-Dimensional Statistical Learning Through Random Matrix Theory: Reviving Pseudo-Inverses |
Nestor Parolya | Delft University of Technology |
2 | 14:25-14:50 | 邀请报告 |
Operations with Concentration Inequalities |
Cosme Louart | The Chinese University of Hong Kong (Shenzhen) |
3 | 14:50-15:15 | 邀请报告 |
Asymptotic Properties of K-means and Its Modification under High Dimensional Settings |
Kento Egashira | Tokyo University of Science |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 16:00-16:25 | 邀请报告 |
Regression Analysis of Neuroimaging Data Leveraging Deep Neural Networks |
Jian Kang | University of Michigan |
2 | 16:25-16:50 | 邀请报告 |
Interpretable Super-Resolution Dimension Reduction of Spatial Transcriptomics Data by DeepFuseNMF |
席瑞斌 | 北京大学 |
3 | 16:50-17:15 | 邀请报告 |
Algorithms for Ridge Estimation with Convergence Guarantees |
Wanli Qiao | George Mason University |
4 | 17:15-17:40 | 邀请报告 |
Manifold Fitting: The Next Frontier in Single-Cell RNA Clustering and Its Potential Applications |
Bingjie Li | National University of Singapore |