1. Steinwart, I. and Christmann, A. (2008). Support Vector Machines. New York: Springer.
2. Sriperumbudur, B.K., Gretton, A., Fukumizu, K., Schölkopf, B. and Lanckriet, G.R.G. (2010). Hilbert space embeddings and metrics on probability measures. J. Mach. Learn. Res. 11 1517–1561.
3. Simon-Gabriel, C.-J. and Schölkopf, B. (2018). Kernel distribution embeddings: Universal kernels, characteristic kernels and kernel metrics on distributions. J. Mach. Learn. Res. 19 44.
4. Lyons, R. (2013). Distance covariance in metric spaces. Ann. Probab. 41 3284–3305. 10.1214/12-AOP803
5. Székely, G.J., Rizzo, M.L. and Bakirov, N.K. (2007). Measuring and testing dependence by correlation of distances. Ann. Statist. 35 2769–2794. 10.1214/009053607000000505