Invited Speakers at CAUSAL Lab
I always keep inviting distinguished scholars to give talks at our lab through the "CAUSAL LAB-SSDS-SUFE" seminar. If you are interested in visiting us and sharing your research, please feel free to contact me. Many thanks for your wonderful talk! Pinning this here as a keepsake (Affiliation/title as of the time of the talk.)
- 2026.06, Fang Kong, Assistant Professor@Southern University of Science and Technology
To Explore or to Commit: Conservative Optimism with Pessimistic Baselines for Offline-to-online Learning - 2026.06, Xiao Liu, Postdoc@Chicago
Causal Reasoning as a Foundation for AI-Driven Science - 2026.06, Lixiong Li, Assistant Professor@Johns Hopkins University
Econometric Inference with Machine-Learned Proxies: Partial Identification via Data Combination - 2026.01, Zonghao Chen, PhD@University College London
Towards a Unified Analysis of Neural Networks in Nonparametric Instrumental Variable Regression: Optimization and Generalization - 2025.11, Qirui Mi, Assistant Professor@Shanghai University of Finance and Economics
AI Agents for Economics Decision-Making Simulation and Policy Optimization
I also sincerely appreciate the invitation to give the talk:
- Causal Learning Beyond Overlap: Complex Treatments, Adaptive Experiments, and Reliable AI Decisions (8 papers of CAUSAL Lab)
2026.06, Talk at AI Time (by students) - From Subsampling to Causal Policy Learning
2026.08, Talk at Statistical AI Workshop, 清华三亚国际数学论坛 (TSIMF)
2026.07, Talk at 北京工商大学 (hosted by Professor Peng Wu, Professor Zhi Geng)
2026.07, Talk at 中国现场统计研究会因果推断分会第二届会员代表大会暨2026年学术年会会议
2026.07, Talk at PCIC 泛太平洋因果大会
2026.07, Talk at JCSDS 统计与数据科学联合会议
2026.06, Talk at COLT 2026
2026.06, Talk at ICSA China Conference
2026.05, Talk at 北京邮电大学 (hosted by Professor Miaomiao Su) - Optimal Transport in Partial Identification Under High Dimension
2026.04, Talk at 中国现场统计研究会高维数据统计分会 - Topology-Informed Online Experimental Design under Network Interference
2026.02, Talk at 香港科技大学 (hosted by Professor Dong Xia)
2026.01, Talk at 南方科技大学 (hosted by Professor Fang Kong)
2026.01, Talk at POMSHK 2026 (hosted by Professor Hanzhang Qin)
2025.11, Talk at The London School of Economics and Political Science (hosted by Professor Chengchun Shi) - Online Experiment Design under Interference Estimation-Regret Tradeoff
2025.04, Talk at 第十届全国统计论坛
2025.01, Talk at 上海交通大学 John Hopcroft Center (hosted by Professor Shuai Li) - Adjusting Auxiliary Variables Under Approximate Neighborhood Interference
2025.06, Talk at 狗熊会
2025.04, Talk at 清华大学 - A Systematic ML Framework for Causality
2025.03, Talk at 国防科技大学
2025.03, Talk at 山东大学
2025.03, Talk at 上海财经大学
2025.03, Talk at 西安交通大学
2025.02, Talk at 国防科技大学
2024.11, Talk at 第十三届全国概率统计会议
2024.11, Talk at 北京大学 (hosted by Professor Zhouchen Lin) - Tight Partial Identification of Causal Effects
2025.06, Talk at 狗熊会
2025.01, Talk at 上海交通大学 John Hopcroft Center (hosted by Professor Shuai Li)
2024.12, Talk at 清华大学 Yao Class Graduate Forum
2024.06, Talk at AI Time - Conceptual Mathematics, Article VI
2022.11, Talk at 清华大学 FODS Seminar
