Claudia Shi

CS PhD student at Columbia University

Claudia.j.shi AT

Claudia Shi

CS PhD student at Columbia University


Claudia Shi

CS PhD student at Columbia University

Claudia.j.shi AT


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.


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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