Causation, Decision, and Imprecise Probabilities

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

Project Details

StatusFinished
Effective start/end date1/01/1631/12/17

Funding

  • Research Grants Council (HKSAR): HK$132,000.00

Funding Scheme

  • General Research Fund

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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
  • 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

  • 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
  • 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)