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2023-07-12 Wednesday

Meeting Room No.5 (UTC+8) 2023-07-12 Local Time

10:30-12:10 (UTC+8) 10:30-12:10 Local Time | Invited Session 25: Bayesian learning for precision matrix and graphical models
President:
NO. Beijing Time (UTC+8) Local Time Type Presentation Topic Speaker Affiliation / Organization
1 10:30-10:55 10:30-10:55 Invited Talk

Bayesian Quantile Regression with Big Data and Chang-Point Detection

Keming Yu Brunel University London
2 10:55-11:20 10:55-11:20 Invited Talk

Multistate modeling and structure selection for multi type recurrent events and terminal event

Chuoxin Ma
3 11:20-11:45 11:20-11:45 Invited Talk

Modelling biomarker variability in joint analysis of longitudinal and time-to-event data

Chunyu Wang MRC Biostatistics Unit, University of Cambridge
4 11:45-12:10 11:45-12:10 Invited Talk

Horseshoe prior for joint-mean covariance model in sparse high dimensional data

Jiaming Shen
14:00-15:40 (UTC+8) 14:00-15:40 Local Time | Invited Session 32: Recent advances in machine learning and high-dimensional statistics
NO. Beijing Time (UTC+8) Local Time Type Presentation Topic Speaker Affiliation / Organization
1 14:00-14:25 14:00-14:25 Invited Talk

Estimation and Inference with Summary Statistics and its Genetic Applications

Hongzhe Li University of Pennsylvania
2 14:25-14:50 14:25-14:50 Invited Talk

Are Decision Trees as Powerful as Neural Networks?

Jason Klusowski Princeton University
3 14:50-15:15 14:50-15:15 Invited Talk

Learning Matchings, Maps, and Trajectories

Jonathan Niles-Weed New York University
4 15:15-15:40 15:15-15:40 Invited Talk

Robust Inference for Federated Meta-Learning

Zijian Guo Rutgers
16:00-17:40 (UTC+8) 16:00-17:40 Local Time | Invited Session 39: Statistical Perspectives on Recent Advances in Machine Learning
NO. Beijing Time (UTC+8) Local Time Type Presentation Topic Speaker Affiliation / Organization
1 16:25-16:50 16:25-16:50 Invited Talk

Supervised Topic Modeling: Optimal Estimation and Statistical Inference 

Ruijia Wu
2 16:50-17:15 16:50-17:15 Invited Talk

Estimation and Inference in High-Dimensional Generalized Linear Models with Knowledge Transfer

Linjun Zhang Rutgers University
3 17:15-17:40 17:15-17:40 Invited Talk

Theoretical Guarantees for Sparse Principal Component Analysis based on the Linear Manifold Approximation

Haoyi Yang The Pennsylvania State University