编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 08:30-08:55 | 邀请报告 |
PEARL: Performance-enhanced Aggregated Representation Learning |
李文慧 | 中国科学院数学与系统科学研究院 |
Invited Talk |
PEARL: Performance-enhanced Aggregated Representation Learning |
Wenhui Li | Academy of Mathematics and Systems Science | ||
2 | 08:55-09:20 | 邀请报告 |
Optimal Multi-Machine Learning Assisted Semi-Supervised Inference |
贺百花 | 中国科学技术大学 |
Invited Talk |
Optimal Multi-Machine Learning Assisted Semi-Supervised Inference |
Baihua He | The University of Science and Technology of China | ||
3 | 09:20-09:45 | 邀请报告 |
Handling model uncertainty in the EM algorithm by model averaging |
崔广源 | City University of Hong Kong |
Invited Talk |
Handling model uncertainty in the EM algorithm by model averaging |
Guangyuan Cui | City University of Hong Kong | ||
4 | 09:45-10:10 | 邀请报告 |
Hybrid Recommender Systems via Model Averaging |
龚识瑾 | 中国科学技术大学 |
Invited Talk | Shijin Gong | University of Science and Technology of China |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 10:30-10:55 | 邀请报告 |
Modeling Emotional Expressions for Multiple Cancers via a Linguistic Analysis of an Online Health Community |
Shuangge Ma | Yale University |
Invited Talk |
Modeling Emotional Expressions for Multiple Cancers via a Linguistic Analysis of an Online Health Community |
Shuangge Ma | Yale University | ||
2 | 10:55-11:20 | 邀请报告 |
Stage-Aware Learning for Dynamic Treatments |
Annie Qu | University of California Santa Barbara |
Invited Talk |
Stage-Aware Learning for Dynamic Treatments |
Annie Qu | University of California Santa Barbara | ||
3 | 11:20-11:45 | 邀请报告 |
Multi-Objective Optimization for Causal Learning of Tolerant Dynamic Treatment Decision Rules |
Lu Wang | University of Michigan |
Invited Talk |
Multi-Objective Optimization for Causal Learning of Tolerant Dynamic Treatment Decision Rules |
Lu Wang | University of Michigan | ||
4 | 11:45-12:10 | 邀请报告 |
在存在缺失数据情形下的个体化治疗规则鲁棒迁移学习 |
唐 路 | University of Pittsburgh |
Invited Talk |
Robust transfer learning for individualized treatment rules in the presence of missing data |
Lu Tang | University of Pittsburgh |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 13:30-13:55 | 邀请报告 |
Adaptive Testing and Estimation for High-Dimensional Covariance Change-Points |
王潇逸 | 北京师范大学珠海校区 |
Invited Talk |
Adaptive Testing and Estimation for High-Dimensional Covariance Change-Points |
Xiaoyi Wang | Beijing Normal University at Zhuhai | ||
2 | 13:55-14:20 | 邀请报告 |
TARGET INFERENCE FOR HIGH-DIMENSIONAL QUANTILE REGRESSION |
Jiancheng Jiang | Department of Mathematics and Statistics & School of Data Science, University of North Carolina at Charlotte |
Invited Talk |
TARGET INFERENCE FOR HIGH-DIMENSIONAL QUANTILE REGRESSION |
Jiancheng Jiang | Department of Mathematics and Statistics & School of Data Science, University of North Carolina at Charlotte | ||
3 | 14:20-14:45 | 邀请报告 |
False Discovery Rate Control Via Bi-Gaussian Mirrors |
Binyan Jiang | The Hong Kong Polytechnic University |
Invited Talk |
False Discovery Rate Control Via Bi-Gaussian Mirrors |
Binyan Jiang | The Hong Kong Polytechnic University | ||
4 | 14:45-15:10 | 邀请报告 |
Functional data analysis via neural networks |
Jun Fan | Hong Kong Baptist University |
Invited Talk |
Functional data analysis via neural networks |
Jun Fan | Hong Kong Baptist University |
编号 | 时间 | 类型 | 题目 | 讲者 | 单位 |
---|---|---|---|---|---|
1 | 15:30-15:55 | 邀请报告 |
High-Dimensional Bias Propagation in Multi-Temporal Covariance Dynamics: A Random Matrix Theory Approach |
王政纲 | 东南大学 |
Invited Talk |
High-Dimensional Bias Propagation in Multi-Temporal Covariance Dynamics: A Random Matrix Theory Approach |
Zhenggang Wang | Southeast University | ||
2 | 15:55-16:20 | 邀请报告 |
区块模型的网络拟合优度检验 |
Jingming Wang | University of Virginia |
Invited Talk |
Network Goodness-of-Fit for the block-model family |
Jingming Wang | University of Virginia | ||
3 | 16:20-16:45 | 邀请报告 |
Ensuring Fairness in Machine Learning Through Data Selection Strategies |
章艺煊 | 东南大学 |
Invited Talk |
Ensuring Fairness in Machine Learning Through Data Selection Strategies |
Yixuan Zhang | Southeast University |