9 citations · 31 across the 31 of their papers we have counts for
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An Iterative Regularized Incremental Projected Subgradient Method for a Class of Bilevel Optimization Problems
Mostafa Amini, Farzad Yousefian
We study a class of bilevel convex optimization problems where the goal is to find the minimizer of an objective function in the upper level, among the set of all optimal solutions…
A Randomized Block Coordinate Iterative Regularized Gradient Method for High-dimensional Ill-posed Convex Optimization
Harshal Kaushik, Farzad Yousefian
Motivated by high-dimensional nonlinear optimization problems as well as ill-posed optimization problems arising in image processing, we consider a bilevel optimization model where…
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…
A Variable Sample-size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization
Afrooz Jalilzadeh, Angelia Nedich, Uday V. Shanbhag +1
Classical theory for quasi-Newton schemes has focused on smooth deterministic unconstrained optimization while recent forays into stochastic convex optimization have largely reside…