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Creators/Authors contains: "Zhang, Jiji"

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  1. ; ; ; (, Advances in Neural Information Processing Systems)
    Ranzato, M.; Beygelzimer, A.; Dauphin, Y.; Liang, P.S.; Vaughan, J. Wortman (Ed.)
    Accepted Manuscript Full Text Available
  2. ; ; ; ; (, Proceedings of the 28th International Joint Conference on Artificial Intelligence, 2019;)
    In recent years the possibility of relaxing the so- called Faithfulness assumption in automated causal discovery has been investigated. The investiga- tion showed (1) that the Faithfulness assumption can be weakened in various ways that in an impor- tant sense preserve its power, and (2) that weak- ening of Faithfulness may help to speed up meth- ods based on Answer Set Programming. However, this line of work has so far only considered the dis- covery of causal models without latent variables. In this paper, we study weakenings of Faithfulness for constraint-based discovery of semi-Markovian causal models, which accommodate the possibility of latent variables, and show that both (1) and (2) remain the case in this more realistic setting. 
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    Accepted Manuscript Full Text Available
  3. ; ; (, Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence, 2018.)
    Accepted Manuscript Full Text Available
  4. ; ; (, Proceeding IJCAI'18 Proceedings of the 27th International Joint Conference on Artificial Intelligence)
    Accepted Manuscript Full Text Available
  5. ; ; (, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence)
    Accepted Manuscript Full Text Available