Philosophical Implications of Recent Advances in Causal Modeling (因果建模和推理的新方法的哲學探究)

Project Details

StatusFinished
Effective start/end date1/08/1331/01/16

Funding

  • Research Grants Council: HKD358,500.00

Funding Scheme

  • General Research Fund

Research Output

  • 5 Journal Article (refereed)
  • 2 Conference paper (refereed)
  • 1 Conference Paper (other)

Causal Discovery from Heterogeneous/Nonstationary Data

HUANG, B., ZHANG, K., ZHANG, J., RAMSEY, J., GLYMOUR, C. & SCHÖKOPF, B., May 2020, In : Journal of Machine Learning Research. 21, 53 p.

Research output: Journal PublicationsJournal Article (refereed)

Open Access
  • Weakening faithfulness : some heuristic causal discovery algorithms

    Zhalama, ZHANG, J. & MAYER, W., 1 Mar 2017, In : International Journal of Data Science and Analytics. 3, 2, p. 93-104 12 p.

    Research output: Journal PublicationsJournal Article (refereed)

    Open Access
  • 2 Citations (Scopus)

    A General Independence Approach to the Inference of Causal Asymmetry

    ZHANG, J., 7 Jan 2016.

    Research output: Other Conference ContributionsConference Paper (other)