Afrooz Jalilzadeh

According to our database, Afrooz Jalilzadeh authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Optimized and Automated Secure IC Design Flow: A Defense-in-Depth Approach.

Kevin Immanuel Gubbi, Banafsheh Saber Latibari, Muhtasim Alam Chowdhury, Afrooz Jalilzadeh, Erfan Yazdandoost Hamedani, Setareh Rafatirad, Avesta Sasan, Houman Homayoun, Soheil Salehi

IEEE Trans. Circuits Syst. I Regul. Pap., May, 2024

Stochastic Approximation for Estimating the Price of Stability in Stochastic Nash Games.

Afrooz Jalilzadeh, Farzad Yousefian, Mohammadjavad Ebrahimi

ACM Trans. Model. Comput. Simul., April, 2024

Randomized Lagrangian stochastic approximation for large-scale constrained stochastic Nash games.

Zeinab Alizadeh, Afrooz Jalilzadeh, Farzad Yousefian

Optim. Lett., March, 2024

2023

A stochastic variance-reduced accelerated primal-dual method for finite-sum saddle-point problems.

Erfan Yazdandoost Hamedani, Afrooz Jalilzadeh

Comput. Optim. Appl., June, 2023

Probability maximization via Minkowski functionals: convex representations and tractable resolution.

I. E. Bardakci, Afrooz Jalilzadeh, Constantino M. Lagoa, Uday V. Shanbhag

Math. Program., May, 2023

A Projection-Based Algorithm for Solving Stochastic Inverse Variational Inequality Problems.

Zeinab Alizadeh, Felipe Parra Polanco, Afrooz Jalilzadeh

Proceedings of the Winter Simulation Conference, 2023

Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems.

Morteza Boroun, Erfan Yazdandoost Hamedani, Afrooz Jalilzadeh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

An Accelerated Asynchronous Distributed Method for Convex Constrained Optimization Problems.

Nazanin Abolfazli, Afrooz Jalilzadeh, Erfan Yazdandoost Hamedani

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Accelerated Primal-dual Scheme for a Class of Stochastic Nonconvex-concave Saddle Point Problems.

Morteza Boroun, Zeinab Alizadeh, Afrooz Jalilzadeh

Proceedings of the American Control Conference, 2023

Randomized Primal-Dual Methods with Adaptive Step Sizes.

Erfan Yazdandoost Hamedani, Afrooz Jalilzadeh, Necdet S. Aybat

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization.

Afrooz Jalilzadeh, Angelia Nedic, Uday V. Shanbhag, Farzad Yousefian

Math. Oper. Res., 2022

An Inexact Variance-Reduced Method for Stochastic Quasi-Variational Inequality Problems with an Application In Healthcare.

Zeinab Alizadeh, Brianna M. Otero, Afrooz Jalilzadeh

Proceedings of the Winter Simulation Conference, 2022

2021

Primal-dual incremental gradient method for nonsmooth and convex optimization problems.

Afrooz Jalilzadeh

Optim. Lett., 2021

Inexact-Proximal Accelerated Gradient Method for Stochastic Nonconvex Constrained Optimization Problems.

Morteza Boroun, Afrooz Jalilzadeh

Proceedings of the Winter Simulation Conference, 2021

2019

A Proximal-Point Algorithm with Variable Sample-Sizes (PPAWSS) for Monotone Stochastic Variational Inequality Problems.

Afrooz Jalilzadeh, Uday V. Shanbhag

Proceedings of the 2019 Winter Simulation Conference, 2019

Smoothed First-order Algorithms for Expectation-valued Constrained Problems.

Afrooz Jalilzadeh, Uday V. Shanbhag

Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

2016

eg-VSSA: An extragradient variable sample-size stochastic approximation scheme: Error analysis and complexity trade-offs.

Afrooz Jalilzadeh, Uday V. Shanbhag

Proceedings of the Winter Simulation Conference, 2016