Kanagawa, M. Max Planck Research Group Probabilistic Numerics, Max Planck Institute for Intelligent Systems, Max Planck Society;
Kajihara, T., Kanagawa, M., Yamazaki, K., & Fukumizu, K. (2018). Kernel Recursive ABC: Point Estimation with Intractable Likelihood. In J. Dy, & A. Krause (Eds.), Proceedings of the 35th International Conference on Machine Learning (pp. 2400-2409). PMLR. Retrieved from http://proceedings.mlr.press/v80/kajihara18a.