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2024-07-14 星期日

A320-A321

08:30-10:10 | Invited Session IS008: Causal Inference in Observational Studies
编号 时间 类型 题目 讲者 单位
1 08:30-08:55 邀请报告

Debiased Estimating Equation Method for Versatile and Efficient Mendelian Randomization Using Large Numbers of Correlated and Invalid SNPs with Weak Effects

王若宇 Harvard University
2 08:55-09:20 邀请报告

Policy Learning with Distributional Welfare

崔逸凡 浙江大学
3 09:20-09:45 邀请报告

The Promises of Parallel Outcomes

王林勃 多伦多大学
4 09:45-10:10 邀请报告

Few-Shot Multi-Task Learning with MetaSP

刘林 上海交通大学
10:30-12:10 | Invited Session IS034: Modern Statistical Methods for Causal Inference
编号 时间 类型 题目 讲者 单位
1 10:30-10:55 邀请报告

Multiply Robust off-Policy Evaluation and Learning under Truncation by Death

Shu Yang North Carolina State University
2 10:55-11:20 邀请报告

Combining Probability and Non-probability Samples Using Semi-parametric Quantile Regression and a Non-parametric Estimator of the Participation Probability

Cindy Yu Iowa State University
3 11:20-11:45 邀请报告

Discovery and Inference of Possibly Bi-directional Causal Relationships with Invalid Instrumental Variables

李伟 中国人民大学
4 11:45-12:10 邀请报告

Generalized Entropy Calibration for Doubly Robust Estimation under Missing at Random

Jae-Kwang Kim Iowa State University
14:00-15:40 | Invited Session IS059: Recent Developments in Causal Learning(因果学习最新进展)
编号 时间 类型 题目 讲者 单位
1 14:00-14:25 邀请报告

Principal Stratification with Continuous Post-Treatment Variables: Nonparametric Identification and Semiparametric Estimation

蒋智超 中山大学
2 14:25-14:50 邀请报告

Extreme-Based Causal Effect Learning (EXCEL) with Unmeasured Light-Tailed Confounding

苗旺 北京大学
3 14:50-15:15 邀请报告

Covariate Adjustment in Randomized Experiments with Missing Outcomes and Covariates

Anqi Zhao Duke University
4 15:15-15:40 邀请报告

Flexible Sensitivity Analysis for Causal Inference in Observational Studies Subject to Unmeasured Confounding

Peng Ding University of California, Berkeley
16:00-17:40 | Invited Session IS100: Doctoral Dissertation in Statistical Machine Learning
编号 时间 类型 题目 讲者 单位
1 16:00-16:25 邀请报告

Decoupled Convergence of Two-Time-Scale Stochastic Approximation

韩雨泽 北京大学
2 16:25-16:50 邀请报告

Trustworthy Reinforcement Learning: Safety Constraints and Uncertainty Quantification

张良宇 北京大学
3 16:50-17:15 邀请报告

Distributed Statistical Inference under Heterogeneity

顾嘉 北京大学