| Adapting neural networks for the estimation of treatment effects C Shi, DM Blei, V Veitch Advances in Neural Information Processing Systems 32, 2019 | 391 | 2019 |
| Open problems and fundamental limitations of reinforcement learning from human feedback S Casper, X Davies, C Shi, TK Gilbert, J Scheurer, J Rando, R Freedman, ... Transactions on Machine Learning Research, 2023 | 282 | 2023 |
| Evaluating the moral beliefs encoded in llms N Scherrer, C Shi, A Feder, D Blei Advances in Neural Information Processing Systems 36, 2024 | 58 | 2024 |
| Conformal sensitivity analysis for individual treatment effects M Yin, C Shi, Y Wang, DM Blei Journal of the American Statistical Association 119 (545), 122-135, 2024 | 40 | 2024 |
| Invariant representation learning for treatment effect estimation C Shi, V Veitch, D Blei Uncertainty in Artificial Intelligence, 2021 | 34 | 2021 |
| On the assumptions of synthetic control methods C Shi, D Sridhar, V Misra, D Blei International Conference on Artificial Intelligence and Statistics, 7163-7175, 2022 | 21 | 2022 |
| Open problems and fundamental limitations of reinforcement learning from human feedback. arXiv 2023 S Casper, X Davies, C Shi, TK Gilbert, J Scheurer, J Rando, R Freedman, ... arXiv preprint arXiv:2307.15217, 0 | 9 | |
| Open problems and fundamental limitations of reinforcement learning from human feedback. CoRR, abs/2307.15217, 2023. doi: 10.48550 S Casper, X Davies, C Shi, TK Gilbert, J Scheurer, J Rando, R Freedman, ... arXiv preprint ARXIV.2307.15217, 0 | 8 | |
| Causal-structure driven augmentations for text ood generalization A Feder, Y Wald, C Shi, S Saria, D Blei Advances in Neural Information Processing Systems 36, 2024 | 6 | 2024 |
| An invariant learning characterization of controlled text generation C Zheng, C Shi, K Vafa, A Feder, DM Blei Annual Meeting of the Association for Computational Linguistics, 2023 | 5* | 2023 |
| Data augmentations for improved (large) language model generalization A Feder, Y Wald, C Shi, S Saria, D Blei Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 4 | 2023 |
| High resolution prediction and explanation of groundwater depletion across India M Alkon, Y Wang, MR Harrington, C Shi, R Kennedy, J Urpelainen, ... Environmental Research Letters 19 (4), 044072, 2024 | 2 | 2024 |
| Large language models: Trust and regulation D Banks, C Bosone, B Carpenter, T Shah, C Shi Harvard Data Science Review 6 (3), 2024 | 1 | 2024 |
| On the Misspecification of Linear Assumptions in Synthetic Controls AOR Nazaret, C Shi, D Blei International Conference on Artificial Intelligence and Statistics, 3790-3798, 2024 | 1 | 2024 |
| Hypothesis Testing the Circuit Hypothesis in LLMs C Shi, N Beltran-Velez, A Nazaret, C Zheng, A Garriga-Alonso, A Jesson, ... ICML 2024 Workshop on Mechanistic Interpretability, 2024 | 1 | 2024 |
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu