Hi, I’m Qianyi (pronounced like “Channing”). I am a third-year PhD student in the Department of Management Science and Engineering at the School of Economics and Management, Tsinghua University. I’m fortunate to be advised by Prof. Bo Li. Prior to my doctoral studies, I earned a Bachelor of Engineering degree from Tsinghua University, majoring in Industrial Engineering with a minor in Data Science and Engineering.
My research interests span causal inference and machine learning, with a particular focus on addressing practical challenges involving complex treatments. Specifically, I am interested in:
- Experimental design and estimation techniques under network interference
- Incentive-aware machine learning involving algorithms acting as treatments
My goal is to develop effective, scalable, sample-efficient, and easy-to-implement statistical methodologies to address practical challenges.
Preprints
Just Ramp-up: Unleash the Potential of Regression-based Estimator for A/B Tests under Network Interference
Qianyi Chen, Bo Li
Submitted, 2024
[arXiv] [code]Practical Performative Policy Learning with Strategic Agents
Qianyi Chen, Ying Chen, Bo Li
Submitted, 2024
[arXiv] [code]
Publications
- Optimized Covariance Design for AB Test on Social Network under Interference
Qianyi Chen, Bo Li, Lu Deng, Yong Wang
The 37th Annual Conference on Neural Information Processing Systems (NeurIPS), 2023.
[paper] [code] [poster] [slides]
Services
Conference reviewer
NeurIPS 2024, AISTATS 2024, ICLR 2024
Teaching
Probability and Statistics at Tsinghua University (Fall 2022, 2023, 2024; TA; with Prof. Bo Li, Prof. Xiaojie Mao)
Experience
Tencent, Wechat Group
(Remote) Research Intern, Algorithm Developer
Aug. 2022 - Jul. 2023ByteDance, Data
Intern, Machine Learning Algorithm Engineer
Jul. 2021 – Nov. 2021