Claudia Shi

According to our database, Claudia Shi authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

On the Misspecification of Linear Assumptions in Synthetic Controls.

Achille O. R. Nazaret, Claudia Shi, David M. Blei

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro Freire, Tony Tong 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, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell

Trans. Mach. Learn. Res., 2023

Evaluating the Moral Beliefs Encoded in LLMs.

Nino Scherrer, Claudia Shi, Amir Feder, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causal-structure Driven Augmentations for Text OOD Generalization.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

An Invariant Learning Characterization of Controlled Text Generation.

Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

On the Assumptions of Synthetic Control Methods.

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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Invariant representation learning for treatment effect estimation.

Claudia Shi, Victor Veitch, David M. Blei

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2019

Adapting Neural Networks for the Estimation of Treatment Effects.

Claudia Shi, David M. Blei, Victor Veitch

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019