Logical Investigations of Causal Models and Counterfactual Structures (因果模型與反實結構的邏輯探究)

  • ZHANG, Jiji (PI)
  • EBERHARDT, Frederick (CoI)
  • YIN, Yimu (CoI)

Project Details

StatusFinished
Effective start/end date1/09/18 → 31/12/20

Funding

  • Research Grants Council (HKSAR): HK$161,358.00

Funding Scheme

  • General Research Fund

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  • 3 Conference paper (refereed)

  • ASP-based discovery of semi-Markovian causal models under weaker assumptions

    Zhalama, ZHANG, J., EBERHARDT, F., MAYER, W. & LI, M. J., 10 Aug 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 1488-1494 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2019-August).

    Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

    5 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 Proceedings › Conference paper (refereed) › Research › peer-review

    Open Access
    11 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 Proceedings › Conference paper (refereed) › Research › peer-review

    Open Access
    4 Citations (Scopus)