NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:25 | 14:00-14:25 | invited Session |
Enhancing High-Dimensional Statistical Learning Through Random Matrix Theory: Reviving Pseudo-Inverses |
Nestor Parolya | Delft University of Technology |
2 | 14:25-14:50 | 14:25-14:50 | invited Session |
Operations with Concentration Inequalities |
Cosme Louart | |
3 | 14:50-15:15 | 14:50-15:15 | invited Session |
Asymptotic Properties of K-means and Its Modification under High Dimensional Settings |
Kento Egashira | Tokyo University of Science |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:25 | 16:00-16:25 | invited Session |
Regression Analysis of Neuroimaging Data Leveraging Deep Neural Networks |
Jian Kang | University of Michigan |
2 | 16:25-16:50 | 16:25-16:50 | invited Session |
Interpretable Super-Resolution Dimension Reduction of Spatial Transcriptomics Data by DeepFuseNMF |
Ruibin Xi | Peking University |
3 | 16:50-17:15 | 16:50-17:15 | invited Session |
Algorithms for Ridge Estimation with Convergence Guarantees |
Wanli Qiao | George Mason University |
4 | 17:15-17:40 | 17:15-17:40 | invited Session |
Manifold Fitting: The Next Frontier in Single-Cell RNA Clustering and Its Potential Applications |
Bingjie Li | National University of Singapore |