Adaptive Methods or Variational Inequalities with Relatively Smooth and Reletively Strongly Monotone Operators

Abstract

The article is devoted to some adaptive methods for variational inequalities with relatively smooth and relatively strongly monotone operators. Starting from the recently proposed proximal variant of the extragradient method for this class of problems, we investigate in detail the method with adaptively selected parameter values. An estimate of the convergence rate of this method is proved. The result is generalized to a class of variational inequalities with relatively strongly monotone generalized smooth variational inequality operators. Numerical experiments have been performed for the problem of ridge regression and variational inequality associated with box-simplex games.