  This paper is a survey of methods for solving smooth (strongly) monotone
stochastic variational inequalities. To begin with, we give the deterministic
foundation from which the stochastic methods eventually evolved. Then we review
methods for the general stochastic formulation, and look at the finite sum
setup. The last parts of the paper are devoted to various recent (not
necessarily stochastic) advances in algorithms for variational inequalities.
