Claudia Shi

CS PhD student at Columbia University

Curriculum vitae

Claudia.j.shi AT

Claudia Shi

CS PhD student at Columbia University


Claudia Shi

CS PhD student at Columbia University

Curriculum vitae

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, AISTATS 2024 (ORAL)

Evaluating the Moral Beliefs Encoded in LLMs

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

NeurIPS 2023 (spotlight)

On the Assumptions of Synthetic Control Methods

Claudia Shi, Dhanya Sridhar, Vishal Misra, David M. Blei

AISTATS 2022 (Oral)

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Stephen Casper, Xander Davies, Claudia Shi, T. Gilbert, J'er'emy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, P. Freire, Tony Wang, Samuel Marks, Charbel-Raphaël Ségerie, Micah Carroll, Andi Peng, Phillip J. K. Christoffersen, Mehul Damani, Stewart Slocum, Usman Anwar, Anand Siththaranjan, Max Nadeau, Eric J. Michaud, J. Pfau, Dmitrii Krasheninnikov, Xin Chen, L. Langosco, Peter Hase, Erdem Biyik, A. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell

TMLR 2023

Data Augmentations for Improved (Large) Language Model Generalization

Amir Feder, Yoav Wald, Claudia Shi, S. Saria, David Blei

NeurIPS, 2023

An Invariant Learning Characterization of Controlled Text Generation

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

ACL, 2023

Conformal Sensitivity Analysis for Individual Treatment Effects

Mingzhang Yin, Claudia Shi, Yixin Wang, D. Blei

Journal of the American Statistical Association, 2021

Invariant Representation Learning for Treatment Effect Estimation

Claudia Shi, Victor Veitch, D. Blei

UAI 2021, 2020

Adapting Neural Networks for the Estimation of Treatment Effects

Claudia Shi, D. Blei, Victor Veitch

NeurIPS, 2019


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