Research output per year
Research output per year
Project Details
| Status | Finished |
|---|---|
| Effective start/end date | 1/01/16 → 31/12/17 |
Funding
- Research Grants Council (Hong Kong, China): HK$132,000.00
Funding Scheme
- General Research Fund
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Research output
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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 Publications › Journal Article (refereed) › peer-review
4 Link opens in a new tab Citations (Scopus) -
On Learning Causal Structures from Non-Experimental Data without Any Faithfulness Assumption
LIN, H. & ZHANG, J., Feb 2020, Proceedings of the 31st International Conference on Algorithmic Learning Theory. 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 Proceedings › Conference paper (refereed) › Research › peer-review
Open Access8 Link opens in a new tab 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 9 p. (Proceedings of Machine Learning Research (PMLR); vol. 97).Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review
Open Access16 Link opens in a new tab Citations (Scopus)