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2024-07-13 星期六

A316

14:00-15:40 | Sepecial Session SS1: Bernoulli Session on Statistical Methodology & Theory
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
16:00-17:40 | Invited Session IS009: Complex Data, Geometry and Related Fields
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