Claudia Shi
CS PhD student at Columbia University
Claudia Shi
CS PhD student at Columbia University
Claudia.j.shi AT gmail.com
About
I am broadly interested in machine learning and causal inference. In the past couple of years, I've worked on bringing machine learning insights to causal effect estimation. Recently, I have been thinking about how to ensure large language models produce factual and human-aligned responses. (My hunch: insights from causality can help! )
Aside from my main research, I co-organize the Machine Learning in New York City speaker series and advise AI alignment research projects at FAR AI.
Publications
On the Misspecification of Linear Assumptions in Synthetic Control
Achille Nazaret, Claudia Shi, David M. Blei
arXiv:2302.12777, 2023
On the Assumptions of Synthetic Control Methods
Claudia Shi, Dhanya Sridhar, Vishal Misra, David M. Blei
International Conference on Artificial Intelligence and Statistics (Oral), 2022
Conformal Sensitivity Analysis for Individual Treatment Effects
Mingzhang Yin, Claudia Shi, Yixin Wang, David M Blei
Journal of the American Statistical Association, 2022
Invariant Representation Learning for Treatment Effect Estimation
Claudia Shi, Victor Veitch, David M. Blei
Uncertainty in Artificial Intelligence (Long talk), 2021
Adapting Neural Networks for the Estimation of Treatment Effects
Claudia Shi, David M. Blei, Victor Veitch
Neural Information Processing Systems, 2019
