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2024-07-13 Saturday

(UTC+8) 2024-07-13 Local Time

14:00-15:40 (UTC+8) 14:00-15:40 Local Time |
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
16:00-17:40 (UTC+8) 16:00-17:40 Local Time |
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