4 citations · 5 across the 3 of their papers we have counts for
3 papers
First-order Methods with Convergence Rates for Multi-agent Systems on Semidefinite Matrix Spaces
Nahidsadat Majlesinasab, Farzad Yousefian, Mohammad Javad Feizollahi
The goal in this paper is to develop first-order methods equipped with convergence rates for multi-agent optimization problems on semidefinite matrix spaces. These problems include…
A First-order Method for Monotone Stochastic Variational Inequalities on Semidefinite Matrix Spaces
Nahidsadat Majlesinasab, Farzad Yousefian, Mohammad Javad Feizollahi
Motivated by multi-user optimization problems and non-cooperative Nash games in stochastic regimes, we consider stochastic variational inequality (SVI) problems on matrix spaces wh…
Self-tuned mirror descent schemes for smooth and nonsmooth high-dimensional stochastic optimization
Nahidsadat Majlesinasab, Farzad Yousefian, Arash Pourhabib
We consider randomized block coordinate stochastic mirror descent (RBSMD) methods for solving high-dimensional stochastic optimization problems with strongly convex objective funct…