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

Search results

• 2019

  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

  Open Access

  • Causal Model 100%
  • Weaker Assumption 100%
  • Speed-up 100%
  • Answer Set Programming 100%
  • Causal Discovery 33%

  8   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 Access

  • Causal Diagram 100%
  • Markov Equivalence 100%
  • Causal Effect 100%
  • Equivalence Class 50%
  • Sufficient Condition 50%

  16   Link opens in a new tab 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 : 33rd Conference on Neural Information Processing Systems (NeurIPS 2019). WALLACH, H. M., LAROCHELLE, H., BEYGELZIMER, A., D'ALCHÉ-BUC, F., FOX, E. A. & GARNETT, R. (eds.). Neural Information Processing Systems Foundation, 9 p. (Advances in Neural Information Processing Systems).

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

  Open Access

  • Conditionals 100%
  • Causal Effect 100%
  • Markov Equivalence 100%
  • Causal Diagram 100%
  • Equivalence Class 33%

  11   Link opens in a new tab Citations (Scopus)

• On causal identification under Markov equivalence

  JABER, A., ZHANG, J. & BAREINBOIM, E., Aug 2019, Proceedings of the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019. Kraus, S. (ed.). International Joint Conferences on Artificial Intelligence, p. 6181-6185 5 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

  Open Access

  • Markov Equivalence 100%
  • Causal Structure 50%
  • Causal Effect 50%
  • Observational Data 50%
  • Independence Model 50%

  7   Link opens in a new tab Citations (Scopus)