April 2, 2022

2022 Causal Inference and Machine Learning Workshop

Location: Beijing, China

Date Time Reporter Title Chair
April 1 14:00-22:00 Registration
April 2 08:50-09:10 Opening ceremony Jiafeng Guo (CAS)
09:10-09:40 Huazhen Lin (Southwestern University of Finance and Economics) Robust and efficient estimation for treatment effect in causal inference Wei Chen (CAS)
09:40-10:10 Peng Cui (Tsinghua University) Causal-Inspired Stable Learning
10:10-10:40 Wei Lin (Peking University) Deconfounding with the Blessing of Dimensionality
10:40-11:00 Coffee Break
11:00-11:30 Wang Miao (Peking University) Causal Inference, Observational Research and the Nobel Prize in Economics Changliang Zou (NKU)
11:30-12:00 Rui Ding (Microsoft) Supervised Causal Learning: A New Frontier of Causal Discovery
12:00-12:30 Lei Wang (Nankai University) Generalized regression estimators for average treatment effect with multicollinearity in high-dimensional covariates
12:30-14:00 Lunch
14:00-14:30 Wei Chen (Microsoft) Combinatorial Causal Bandit Wang Miao (PKU)
14:30-15:00 Ling Zhou (Southwestern University of Finance and Economics) Confederated learning and Inference
15:00-15:30 Zheng Zhang (Renmin University of China) Nonparametric Estimation of Continuous Treatment Effect with Measurement Error
15:30-15:50 Coffee Break
15:50-16:20 Lin Liu (Shanghai Jiaotong University) A novel stable higher-order influence function estimators for doubly-robust functionals Wei Chen (Microsoft)
16:20-16:50 Wei Li (Renmin University of China) Estimation and inference for high-dimensional nonparametric additive instrumental-variables regression
16:50-17:20 Chang Liu (Microsoft) Improving out-of-Distribution Performance of Machine Learning Models from a Causal Perspective