Farzad Yousefian

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 21

Top Topics

Subgradient Method

Stochastic Approximation

Equality Constraints

Top Venues

IEEE Trans. Autom. Control.

Publications

Afrooz Jalilzadeh, Farzad Yousefian, Mohammadjavad Ebrahimi
Stochastic Approximation for Estimating the Price of Stability in Stochastic Nash Games. ACM Trans. Model. Comput. Simul. 34 (2) (2024)
Zeinab Alizadeh, Afrooz Jalilzadeh, Farzad Yousefian
Randomized Lagrangian stochastic approximation for large-scale constrained stochastic Nash games. Optim. Lett. 18 (2) (2024)
Yuyang Qiu, Uday V. Shanbhag, Farzad Yousefian
Zeroth-Order Methods for Nondifferentiable, Nonconvex, and Hierarchical Federated Optimization. NeurIPS (2023)
Daniel Alberto Burbano, Farzad Yousefian
A Fish Rheotaxis Mechanism as a Zero-Order Optimization Strategy. IEEE Access 11 (2023)
Harshal D. Kaushik, Sepideh Samadi, Farzad Yousefian
An Incremental Gradient Method for Optimization Problems With Variational Inequality Constraints. IEEE Trans. Autom. Control. 68 (12) (2023)
Shisheng Cui, Uday V. Shanbhag, Farzad Yousefian
Complexity guarantees for an implicit smoothing-enabled method for stochastic MPECs. Math. Program. 198 (2) (2023)
Afrooz Jalilzadeh, Angelia Nedic, Uday V. Shanbhag, Farzad Yousefian
A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization. Math. Oper. Res. 47 (1) (2022)
Harshal D. Kaushik, Farzad Yousefian
A Method with Convergence Rates for Optimization Problems with Variational Inequality Constraints. SIAM J. Optim. 31 (3) (2021)
Harshal D. Kaushik, Farzad Yousefian
An Incremental Gradient Method for Large-scale Distributed Nonlinearly Constrained Optimization. ACC (2021)
Farzad Yousefian
Bilevel Distributed Optimization in Directed Networks. ACC (2021)
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
On Stochastic and Deterministic Quasi-Newton Methods for Nonstrongly Convex Optimization: Asymptotic Convergence and Rate Analysis. SIAM J. Optim. 30 (2) (2020)
Nahidsadat Majlesinasab, Farzad Yousefian, Arash Pourhabib
Self-Tuned Mirror Descent Schemes for Smooth and Nonsmooth High-Dimensional Stochastic Optimization. IEEE Trans. Autom. Control. 64 (10) (2019)
Mostafa Amini, Farzad Yousefian
An Iterative Regularized Incremental Projected Subgradient Method for a Class of Bilevel Optimization Problems. ACC (2019)
Nahidsadat Majlesinasab, Farzad Yousefian, Mohammad Javad Feizollahi
A First-order Method for Monotone Stochastic Variational Inequalities on Semidefinite Matrix Spaces. ACC (2019)
Harshal Kaushik, Farzad Yousefian
A Randomized Block Coordinate Iterative Regularized Subgradient Method for High-dimensional Ill-posed Convex Optimization. ACC (2019)
David Newton, Raghu Pasupathy, Farzad Yousefian
Recent Trends in stochastic Gradient Descent for Machine Learning and Big Data. WSC (2018)
Afrooz Jalilzadeh, Angelia Nedic, Uday V. Shanbhag, Farzad Yousefian
A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization. CDC (2018)
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
On smoothing, regularization, and averaging in stochastic approximation methods for stochastic variational inequality problems. Math. Program. 165 (1) (2017)
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
A smoothing stochastic quasi-newton method for non-lipschitzian stochastic optimization problems. WSC (2017)
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
Self-Tuned Stochastic Approximation Schemes for Non-Lipschitzian Stochastic Multi-User Optimization and Nash Games. IEEE Trans. Autom. Control. 61 (7) (2016)
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
Stochastic quasi-Newton methods for non-strongly convex problems: Convergence and rate analysis. CDC (2016)
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
Optimal robust smoothing extragradient algorithms for stochastic variational inequality problems. CDC (2014)
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
A regularized smoothing stochastic approximation (RSSA) algorithm for stochastic variational inequality problems. WSC (2013)
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
A distributed adaptive steplength stochastic approximation method for monotone stochastic Nash Games. ACC (2013)
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
On stochastic gradient and subgradient methods with adaptive steplength sequences. Autom. 48 (1) (2012)
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
A regularized adaptive steplength stochastic approximation scheme for monotone stochastic variational inequalities. WSC (2011)
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
On Stochastic Gradient and Subgradient Methods with Adaptive Steplength Sequences CoRR (2011)
Farzad Yousefian, Angelia Nedic, Uday V. Shanbhag
Convex nondifferentiable stochastic optimization: A local randomized smoothing technique. ACC (2010)