编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 14:00-14:20 | 贡献报告 |
Hypothesis Testing in Gaussian Graphical Models: Goodness-of-Fit and Conditional Randomization Tests |
Xiaotong Lin | National University of Singapore |
2 | 14:20-14:40 | 贡献报告 |
Robust Estimation and Testing for GARCH Models via Exponentially Tilted Empirical Likelihood |
李亚爽 | 云南大学 |
3 | 14:40-15:00 | 贡献报告 |
A Bayesian Phase I/II Platform Design for Multiple Indications with Mixed Types of Endpoints of Toxicity and Efficacy |
石现 | 华东师范大学 |
4 | 15:00-15:20 | 贡献报告 |
Elevating Federated Clustering: Deep Generative Models and Contrastive Learning Strategies |
闫杰 | 中央财经大学 |
5 | 15:20-15:40 | 贡献报告 |
The Lose-Lose or All-Lose Consequences: Assessing the International Economic Impact of Sino–U.S. Technological Decoupling |
Yutao Jiang | Anhui University of Finance and Economics |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 16:00-16:20 | 贡献报告 |
Efficient and Provable Online Reduced Rank Regression via Online Gradient Descent |
刘潇 | 上海交通大学 |
2 | 16:20-16:40 | 贡献报告 |
Acceleration of Stochastic Gradient Descent with Momentum by Averaging: Finite-Sample Rates and Asymptotic Normality |
唐科杰 | 上海交通大学 |
3 | 16:40-17:00 | 贡献报告 |
An Adaptive ABC-MCMC with Global-Local Proposals |
曹雪飞 | 南开大学 |
4 | 17:00-17:20 | 贡献报告 |
Large Deviation Algorithms for the Thresholding Bandit Problem |
Shan Dai | The Chinese University of Hong Kong (Shenzhen) |
5 | 17:20-17:40 | 贡献报告 |
Computationally Efficient Methods for Estimating Co-heritability of Multivariate Phenotypes Using Biobank Data |
邓宇昊 | University of Michigan |