Causation, Decision, and Imprecise Probabilities

  • ZHANG, Jiji (PI)
  • SEIDENFELD, Teddy (CoI)

Search results

  • Journal Article (refereed)

    Agreeing to disagree and dilation

    ZHANG, J., LIU, H. & SEIDENFELD, T., Oct 2018, In: International Journal of Approximate Reasoning. 101, p. 150-162 13 p.

    Research output: Journal PublicationsJournal Article (refereed)peer-review

    1 Citation (Scopus)
  • Subjective causal networks and indeterminate suppositional credences

    ZHANG, J., SEIDENFELD, T. & LIU, H., Nov 2021, In: Synthese. 198, 27, p. 6571-6597 27 p.

    Research output: Journal PublicationsJournal Article (refereed)peer-review

  • Conference paper (refereed)

    A Graphical Criterion for Effect Identification in Equivalence Classes of Causal Diagrams

    JABER, A., ZHANG, J. & BAREINBOIM, E., Jul 2018, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18). LANG, J. L. (ed.). International Joint Conferences on Artificial Intelligence, p. 5024-5030

    Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

    Open Access
    8 Citations (Scopus)
  • Agreeing to disagree and dilation

    ZHANG, J., LIU, H. & SEIDENFELD, T., 2017, PMLR: Proceedings of Machine Learning Research. Vol. 62. p. 370-381 12 p. (PMLR: Proceedings of Machine Learning Research).

    Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

    Open Access
  • Causal Identification under Markov Equivalence

    JABER, A., ZHANG, J. & BAREINBOIM, E., Aug 2018, Proceedings of the Thirty-Fourth Conference (2018) : Uncertainty in Artificial Intelligence. Association for Uncertainty in Artificial Intelligence (AUAI), p. 978-987

    Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

    Open Access
    13 Citations (Scopus)
  • Causal Identification under Markov Equivalence: Completeness Results

    JABER, A., ZHANG, J. & Bareinboim, E., Jun 2019, Proceedings of the 36th International Conference on Machine Learning. Chaudhuri, K. & Salakhutdinov, R. (eds.). p. 2981-2989 (Proceedings of Machine Learning Research (PMLR); vol. 97).

    Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

    7 Citations (Scopus)
  • Identification of Conditional Causal Effects under Markov Equivalence

    JABER, A., ZHANG, J. & Bareinboim, E., Dec 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019) pre-proceedings. Wallach, H., Larochelle, H., Beygelzimer, A., d'Alché-Buc, F., Fox, E. & Garnett, R. (eds.). Neural Information Processing Systems Foundation, Vol. 32. (Advances in Neural Information Processing Systems).

    Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

    Open Access
    2 Citations (Scopus)
  • On causal identification under Markov equivalence

    JABER, A., ZHANG, J. & BAREINBOIM, E., Aug 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 6181-6185 5 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

    Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

    Open Access
    2 Citations (Scopus)
  • On Learning Causal Structures from Non-Experimental Data without Any Faithfulness Assumption

    LIN, H. & ZHANG, J., Feb 2020, Proceedings of Machine Learning Research. KONTOROVICH, A. & NEU, G. (eds.). Vol. 117. p. 554-582 29 p. (Proceedings of Machine Learning Research; vol. 117).

    Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

    Open Access
  • SAT-based causal discovery under weaker assumptions

    Zhalama, ZHANG, J., EBERHARDT, F. & MAYER, W., 1 Jan 2017, Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence (UAI). Association for Uncertainty in Artificial Intelligence (AUAI), 234

    Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

    Open Access
    4 Citations (Scopus)
  • Conference paper (invited)

    On the Minimization Principle in the Boolean Approach to Causal Discovery

    ZHANG, J., 2017, Philosophical logic : current trends in Asia: Proceedings of AWPL-TPLC 2016. YANG, S. C-M., LEE, K. Y. & ONO, H. (eds.). Springer, p. 79-94 16 p. (Logic in Asia: Studia Logica Library).

    Research output: Book Chapters | Papers in Conference ProceedingsConference paper (invited)

    1 Citation (Scopus)