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A Projection-Based Algorithm for Solving Stochastic Inverse Variational Inequality Problems
Zeinab Alizadeh, Felipe Parra Polanco, Afrooz Jalilzadeh
We consider a stochastic Inverse Variational Inequality (IVI) problem defined by a continuous and co-coercive map over a closed and convex set. Motivated by the absence of performa…
Randomized Lagrangian Stochastic Approximation for Large-Scale Constrained Stochastic Nash Games
Zeinab Alizadeh, Afrooz Jalilzadeh, Farzad Yousefian
In this paper, we consider stochastic monotone Nash games where each player's strategy set is characterized by possibly a large number of explicit convex constraint inequalities. N…
Accelerated Primal-dual Scheme for a Class of Stochastic Nonconvex-concave Saddle Point Problems
Morteza Boroun, Zeinab Alizadeh, Afrooz Jalilzadeh
Stochastic nonconvex-concave min-max saddle point problems appear in many machine learning and control problems including distributionally robust optimization, generative adversari…
An Inexact Variance-Reduced Method For Stochastic Quasi-Variational Inequality Problems With An Application In Healthcare
Zeinab Alizadeh, Brianna M. Otero, Afrooz Jalilzadeh
This paper is focused on a stochastic quasi-variational inequality (SQVI) problem with a continuous and strongly-monotone mapping over a closed and convex set where the projection…