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.


An Invariant Learning Characterization of Controlled Text Generation

Carolina Zheng*, Claudia Shi*, Keyon Vafa, Amir Feder, David Blei (*equal contribution)

ACL 2023

Evaluating the Moral Beliefs Encoded in LLMs

Nino Scherrer*, Claudia Shi*, Amir Feder, David Blei (*equal contribution)

NeurIPS 2023 (spotlight)

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jeremy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, others

On the Misspecification of Linear Assumptions in Synthetic Control

Achille Nazaret, Claudia Shi, David M. Blei

arXiv:2302.12777, 2023

Causal-structure Driven Augmentations for Text OOD Generalization

Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David Blei

NeurIPS, 2023

View all

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