NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 14:00-14:20 | 14:00-14:20 | Contribution Session |
Hypothesis Testing in Gaussian Graphical Models: Goodness-of-Fit and Conditional Randomization Tests |
Xiaotong Lin | |
2 | 14:20-14:40 | 14:20-14:40 | Contribution Session |
Robust Estimation and Testing for GARCH Models via Exponentially Tilted Empirical Likelihood |
Yashuang Li | Yunnan University |
3 | 14:40-15:00 | 14:40-15:00 | Contribution Session |
A Bayesian Phase I/II Platform Design for Multiple Indications with Mixed Types of Endpoints of Toxicity and Efficacy |
Xian Shi | East China Normal University |
4 | 15:00-15:20 | 15:00-15:20 | Contribution Session |
Elevating Federated Clustering: Deep Generative Models and Contrastive Learning Strategies |
Jie Yan | Central University of Finance and Economics |
5 | 15:20-15:40 | 15:20-15:40 | Contribution Session |
The Lose-Lose or All-Lose Consequences: Assessing the International Economic Impact of Sino–U.S. Technological Decoupling |
Yutao Jiang |
NO. | Beijing Time (UTC+8) | Local Time | Type | Presentation Topic | Speaker | Affiliation / Organization |
---|---|---|---|---|---|---|
1 | 16:00-16:20 | 16:00-16:20 | Contribution Session |
Efficient and Provable Online Reduced Rank Regression via Online Gradient Descent |
Xiao Liu | Shanghai Jiao Tong University |
2 | 16:20-16:40 | 16:20-16:40 | Contribution Session |
Acceleration of Stochastic Gradient Descent with Momentum by Averaging: Finite-Sample Rates and Asymptotic Normality |
Kejie Tang | Shanghai Jiao Tong University |
3 | 16:40-17:00 | 16:40-17:00 | Contribution Session |
An Adaptive ABC-MCMC with Global-Local Proposals |
Xuefei Cao | Nankai University |
4 | 17:00-17:20 | 17:00-17:20 | Contribution Session |
Large Deviation Algorithms for the Thresholding Bandit Problem |
Shan Dai | |
5 | 17:20-17:40 | 17:20-17:40 | Contribution Session |
Computationally Efficient Methods for Estimating Co-heritability of Multivariate Phenotypes Using Biobank Data |
Yuhao Deng | University of Michigan |