- Does AI help humans make better decisions?
- Guangdong University of Technology, Nov 2024
- Renmin University of China, Nov 2024
- Hong Kong University of Science and Technology, Nov 2024
- Clubear, Aug 2024
- 现场统计学会因果推断分会, March 2024
- Principal stratification with continuous post-treatment variables
- Pacific Causal Inference Conference, invited, Jul 2024
- Joint Conference on Statistics and Data Science in China, invited, Jul 2024
- An instrumental variable method for point processes
- Southwestern University of Finance and Economics, Nov 2023
- Joint Conference on Statistics and Data Science in China, invited, Jul 2023
- Policy learning with asymmetric utilities
- Pacific Causal Inference Conference, invited, Sep 2023
- International Forum on Statistics, Renmin University of China, Jul 2023
- ICSA China, invited, Jul 2023
- Principal stratification based on outcomes
- Joint Statistical Meetings, virtual, invited, Aug 2022
- Safe policy learning through extrapolation
- Xiamen University, Nov 2022
- Pacific Causal Inference Conference, invited, Sep 2022
- ICSA China, invited, Apr 2022
- Statistical inference and power analysis for direct and spillover effects in two-stage randomized experiments
- Joint Statistical Meetings, virtual conference, invited, Aug 2021
- Experimental evaluation of computer-assisted human decision making
- Joint Statistical Meetings, Aug 2022
- BIRS workshop, May 2022
- School of Mathematical Sciences, Xiamen University, April 2022
- Southwestern University of Finance and Economics, March 2022
- IMS Workshop: Causal Inference with Big Data, Dec 2021
- Department of Biostatistics, Peking University, Nov 2021
- Department of Statistics, University of Illinois Urbana-Champaign, Nov 2021
- ICSA Applied Statistics Symposium, virtual conference, Sep 2021
- Pacific Causal Inference Conference, virtual conference, Sep 2020
- Causal inference with interference and noncompliance in the two-stage randomized experiments
- Applied Statistics Workshop, Harvard University, Nov 2018
- Joint Statistical Meetings, Vancouver, Canada, Aug 2018
- Peking University, Beijing, China, Jul 2018
- Atlantic Causal Inference Conference, Pittsburgh, PA, May 2018
- Using missing types to improve partial identification with missing binary outcomes
- NESS, Hartford, CT, May 2019
- ENAR, Philadelphia, PA, Mar 2019
- EcoSta, HongKong, Jun 2018
- Measurement errors in the binary instrumental variable model
- EcoSta, Taichung, Jun 2019
- Principal surrogate evaluation using multiple trials
- Joint Statistical Meetings, virtual conference, topic-contributed, Aug 2020
- Department of Mathematics and Statistics, University of Massachusetts Amherst, Nov 2019
