Causation, Decision, and Imprecise Probabilities

Project Details

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

Funding

  • Research Grants Council: HKD132,000.00

Funding Scheme

  • General Research Fund

Research Output

  • 8 Conference paper (refereed)
  • 2 Journal Article (refereed)
  • 1 Conference paper (invited)

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)

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)

  • 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

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

    Open Access