Jin Tian, Ph.D.
Affiliations: | 2002 | University of California, Los Angeles, Los Angeles, CA |
Area:
artificial intelligence and knowledge representation; probabilistic and causal reasoning; nonstandard logics; learning strategiesGoogle:
"Jin Tian"Parents
Sign in to add mentor| Judea Pearl | grad student | 2002 | UCLA | |
| (Studies in causal reasoning and learning.) | ||||
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Bareinboim E, Tian J. (2015) Recovering causal effects from selection bias Proceedings of the National Conference On Artificial Intelligence. 5: 3475-3481 |
| Bareinboim E, Tian J, Pearl J. (2014) Recovering from selection bias in causal and statistical inference Proceedings of the National Conference On Artificial Intelligence. 4: 2410-2416 |
| Chen B, Tian J, Pearl J. (2014) Testable implications of linear structural equation models Proceedings of the National Conference On Artificial Intelligence. 4: 2424-2430 |
| Mohan K, Pearl J, Tian J. (2013) Graphical models for inference with missing data Advances in Neural Information Processing Systems |
| Cai Z, Kuroki M, Pearl J, et al. (2008) Bounds on direct effects in the presence of confounded intermediate variables. Biometrics. 64: 695-701 |
| Tian J, Kang C, Pearl J. (2006) A characterizetion of interventional distributions in semi-markovian causal models Proceedings of the National Conference On Artificial Intelligence. 2: 1239-1244 |
| Tian J, Pearl J. (2002) A new characterization of the experimental implications of causal bayesian networks Proceedings of the National Conference On Artificial Intelligence. 574-579 |
| Tian J, Pearl J. (2002) A general identification condition for causal effects Proceedings of the National Conference On Artificial Intelligence. 567-573 |
| Tian J, Pearl J. (2000) Probabilities of causation: Bounds and identification Annals of Mathematics and Artificial Intelligence. 28: 287-313 |