Claudia Shi

CS PhD student at Columbia University


Claudia.j.shi AT gmail.com



Claudia Shi

CS PhD student at Columbia University


Contact

Claudia Shi

CS PhD student at Columbia University


Claudia.j.shi AT gmail.com




About


I am a Ph.D. student in Computer Science at Columbia University,  advised by David Blei

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

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