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  1. J. Pearl,"Robustness of Causal Claims" In Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence, AUAI Press: Arlington, VA, 446-453, July 2004. (R-290): [pdf] J. Tian and J. Pearl, "A General Identification Condition for Causal Effects" In Proceedings of the Eighteenth Conference on Artificial Intelligence , AAAI/The MIT ...

  2. en.wikipedia.org › wiki › Judea_PearlJudea Pearl - Wikipedia

    Judea Pearl (born September 4, 1936) is an Israeli-American computer scientist and philosopher, best known for championing the probabilistic approach to artificial intelligence and the development of Bayesian networks (see the article on belief propagation).

  3. This review presents empirical researchers with recent advances in causal inference, and stresses the paradigmatic shifts that must be undertaken in moving from traditional statistical analysis to causal analysis of multivariate data. Special emphasis is placed on the assumptions that underly all causal inferences, the languages used in formulating those assumptions, the conditional nature of ...

  4. ‪Professor of Computer Science, University of California, Los Angeles‬ - ‪‪Cited by 123,886‬‬ - ‪causality‬ - ‪artificial intelligence‬ - ‪structural equations‬ - ‪counterfactuals‬

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  6. The latest Lifestyle | Daily Life news, tips, opinion and advice from The Sydney Morning Herald covering life and relationships, beauty, fashion, health & wellbeing

  7. Dec 27, 2021 · 前言. Judea Pearl是图灵奖得主,因果推断的奠基人之一。由于阅读的论文中涉及到反事实推断中Total Effect(TE), Natural Direct Effect(NDE), Total Indirect Effect(TIE)等概念,涉及到反事实推断方法的核心,因此前来拜读一下Pearl老爷子二十年前发表的这篇论文。

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