| Causal inference with non-iid data using linear graphical models C Zhang, K Mohan, J Pearl Advances in Neural Information Processing Systems 35, 13214-13225, 2022 | 10 | 2022 |
| A simultaneous discover-identify approach to causal inference in linear models C Zhang, B Chen, J Pearl Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 10318 …, 2020 | 9 | 2020 |
| Exploiting equality constraints in causal inference C Zhang, C Cinelli, B Chen, J Pearl International Conference on Artificial Intelligence and Statistics, 1630-1638, 2021 | 4 | 2021 |
| Causal Inference under Interference and Model Uncertainty C Zhang, K Mohan, J Pearl Conference on Causal Learning and Reasoning, 371-385, 2023 | 2 | 2023 |
| Causal Inference with Non-IID Data under Model Uncertainty C Zhang, K Mohan, J Pearl Proceedings of Machine Learning Research vol TBD 1, 14, 2023 | | 2023 |
| On Quantifying Bias in Causal Effects When Data Are Non-IID C Zhang, K Mohan, J Pearl | | 2022 |
Judea PearlProfessor of Computer Science, University of California, Los AngelesEmail verificata su cs.ucla.edu
