Claudia Shi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 14

Top Topics

Acute Coronary Syndrome

Causal Ordering

Text Generation

Reinforcement Learning

Top Venues

Publications

Achille O. R. Nazaret, Claudia Shi, David M. Blei
On the Misspecification of Linear Assumptions in Synthetic Controls. AISTATS (2024)
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
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. Trans. Mach. Learn. Res. 2023 (2023)
Stephen Casper, Xander Davies, Claudia Shi, Thomas Krendl Gilbert, Jérémy Scheurer, Javier Rando, Rachel Freedman, Tomasz Korbak, David Lindner, Pedro 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, Jacob Pfau, Dmitrii Krasheninnikov, Xin Chen, Lauro Langosco, Peter Hase, Erdem Biyik, Anca D. Dragan, David Krueger, Dorsa Sadigh, Dylan Hadfield-Menell
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. CoRR (2023)
Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei
An Invariant Learning Characterization of Controlled Text Generation. CoRR (2023)
Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David M. Blei
Causal-structure Driven Augmentations for Text OOD Generalization. NeurIPS (2023)
Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei
An Invariant Learning Characterization of Controlled Text Generation. ACL (1) (2023)
Nino Scherrer, Claudia Shi, Amir Feder, David M. Blei
Evaluating the Moral Beliefs Encoded in LLMs. NeurIPS (2023)
Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David M. Blei
Causal-structure Driven Augmentations for Text OOD Generalization. CoRR (2023)
Nino Scherrer, Claudia Shi, Amir Feder, David M. Blei
Evaluating the Moral Beliefs Encoded in LLMs. CoRR (2023)
Claudia Shi, Dhanya Sridhar, Vishal Misra, David M. Blei
On the Assumptions of Synthetic Control Methods. AISTATS (2022)
Claudia Shi, Victor Veitch, David M. Blei
Invariant representation learning for treatment effect estimation. UAI (2021)
Claudia Shi, Victor Veitch, David M. Blei
Invariant Representation Learning for Treatment Effect Estimation. CoRR (2020)
Claudia Shi, David M. Blei, Victor Veitch
Adapting Neural Networks for the Estimation of Treatment Effects. NeurIPS (2019)
Claudia Shi, David M. Blei, Victor Veitch
Adapting Neural Networks for the Estimation of Treatment Effects. CoRR (2019)