Learning Variational Inequalities from Data: Fast Generalization Rates under Strong Monotonicity

Eric Zhao, Tatjana Chavdarova, Michael Jordan

Variational inequalities (VIs) are a broad class of optimization problems encompassing machine learning problems ranging from standard convex minimization to more complex scenarios…