1. [1] Pearl, J.: Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA (1988).
2. [2] Tsamardinos, I. and Aliferis, C.F.: Towards principled feature selection: Relevancy, filters and wrappers, International Workshop on Artificial Intelligence and Statistics, PMLR, pp.300-307 (2003).
3. [3] Yu, K., Liu, L. and Li, J.: A unified view of causal and non-causal feature selection, ACM Trans. Knowledge Discovery from Data (TKDD), Vol.15, No.4, pp.1-46 (2021).
4. [4] Gao, T. and Ji, Q.: Local Causal Discovery of Direct Causes and Effects, Advances in Neural Information Processing Systems, Cortes, C., Lawrence, N., Lee, D., Sugiyama, M. and Garnett, R. (Eds.), Curran Associates, Inc. (2015).
5. [5] Yu, K., Guo, X., Liu, L., Li, J., Wang, H., Ling, Z. and Wu, X.: Causality-based feature selection: Methods and evaluations, ACM Computing Surveys (CSUR), Vol.53, No.5, pp.1-36 (2020).