What is the relationship between SVM and maximum likelihood estimation?

SVM is not probabilistic like MLE but can be loosely connected through loss functions.

MLE estimates parameters by maximizing probability of data, while SVM minimizes hinge loss. Though both optimize different objectives, both can be seen as risk minimization frameworks under different assumptions.