Stochastic approximation (SA) type methods have been well studied for solving single-stage
stochastic variational inequalities (SVIs). This paper proposes a dynamic stochastic …

In this article, we focus on the stochastic generalized Nash equilibrium problem (SGNEP)
which is an important and widely used model in many different fields. In this model, subject …

We consider monotone inclusions defined on a Hilbert space where the operator is given by
the sum of a maximal monotone operator T and a single-valued monotone, Lipschitz …

In a two-player noncooperative game framework, we deal with the affine relaxations of the
best response algorithm (where a player's strategy is a best response to the strategy of the …

We consider an N-player hierarchical game in which the i-th player's objective comprises of
an expectation-valued term, parametrized by rival decisions, and a hierarchical term. Such a …

We design a computational approach to find equilibria in a class of Nash games possessing
a hierarchical structure. By using tools from mixed-integer optimization and the …

This paper explores the application of event-based cameras in the domains of image
segmentation and motion estimation. These cameras offer a groundbreaking technology by …

Chance-constrained optimization problems, an important subclass of stochastic optimization
problems, are often complicated by nonsmoothness, and nonconvexity. Thus far, non …

In multiplayer games, a collection of self-interested players aims to optimize their individual
cost functions in a non-cooperative manner. The cost function of each player depends not …

Equilibrium problems with equilibrium constraints are appropriate modeling formulations in
a number of important areas, such as energy markets, transportation planning, and logistics …