Adapting neural networks for the estimation of treatment effects C Shi, DM Blei, V Veitch Advances in Neural Information Processing Systems 32, 2019 | 360 | 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, ... arXiv preprint arXiv:2307.15217, 2023 | 232 | 2023 |
Evaluating the moral beliefs encoded in llms N Scherrer, C Shi, A Feder, D Blei Advances in Neural Information Processing Systems 36, 2024 | 43 | 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 | 36 | 2024 |
Invariant representation learning for treatment effect estimation C Shi, V Veitch, D Blei Uncertainty in Artificial Intelligence, 2021 | 33 | 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 | 20 | 2022 |
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 | 4 | 2024 |
An invariant learning characterization of controlled text generation C Zheng, C Shi, K Vafa, A Feder, DM Blei arXiv preprint arXiv:2306.00198, 2023 | 3* | 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 | 2 | 2023 |
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 |
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 | | 2024 |