[1] Cai R, Qiao J, Zhang K, et al. Causal discovery from discrete data using hidden compact representation[C]//Proceedings of the 31st Advances in neural information processing systems, 2018: 2666-2674.[2] Cai R, Qiao J, Zhang Z, et al. SELF: Structural Equational Likelihood Framework for Causal Discovery[C]//Thirty-Second AAAI Conference on Artificial Intelligence. 2018.[3] Cai R, Xie F, Glymour C, et al. Triad Constraints for Learning Causal Structure of Latent Variables[C]//Advances in Neural Information Processing Systems. 2019: 12863-12872.[4] Xie F, Cai R, Huang B, et al. Generalized Independent Noise Condition for Estimating Linear Non-Gaussian Latent Variable Graphs[C]//Proceedings of the 33rd International Conference on Neural Information Processing Systems. 2020.[5] Cai R, Li J, Zhang Z, et al. DACH: Domain Adaptation Without Domain Information[J]. IEEE Transactions on Neural Networks and Learning Systems, 2020.[6] Cai R, Chen J, Li Z, et al. Time Series Domain Adaptation via Sparse Associative Structure Alignment[C]// Proceedings of the 35th AAAI Conference on Artificial Intelligence, 2021.[7] Cai R, Li Z, Wei P, et al. Learning disentangled semantic representation for domain adaptation[C]//Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. NIH Public Access, 2019.[8] 蔡瑞初, 陈薇, 张坤, 等. 基于非时序观察数据的因果关系发现综述[J]. 计算机学报, 2017, 40(6): 1470-1490.
因果推断与机器学习领域的结合已经吸引了越来越多来自学界业界的关注,为深入探讨、普及推广因果科学议题,智源社区携手集智俱乐部将举办第二季「因果科学与CausalAI读书会」。本期读书会着力于实操性、基础性,将带领大家精读因果科学方向两本非常受广泛认可的入门教材。 1. Pearl, Judea, Madelyn Glymour, and Nicholas P. Jewell. Causal inference in statistics: A primer. John Wiley & Sons, 2016.(本书中译版《统计因果推理入门(翻译版)》已由高等教育出版社出版) 2. Peters, Jonas, Dominik Janzing, and Bernhard Schölkopf. Elements of causal inference: foundations and learning algorithms. The MIT Press, 2017. 读书会每周将进行直播讨论,进行问题交流、重点概念分享、阅读概览和编程实践内容分析。非常适合有机器学习背景,希望深入学习因果科学基础知识和重要模型方法,寻求解决相关研究问题的朋友参加。 目前因果科学读书会系列,已经有接近400多位的海内外高校科研院所的一线科研工作者以及互联网一线从业人员参与,吸引了国内和国际上大部分的因果科学领域的专业科研人员,如果你也对这个主题感兴趣,想要深度地参与,就快加入我们吧!