eg-VSSA: An extragradient variable sample-size stochastic approximation scheme: Error analysis and complexity trade-offs. - Afrooz Jalilzadeh; Uday V. Shanbhag (WSC, 2016)

Smoothed First-order Algorithms for Expectation-valued Constrained Problems. - Afrooz Jalilzadeh; Uday V. Shanbhag (CISS, 2019)

A Proximal-Point Algorithm with Variable Sample-Sizes (PPAWSS) for Monotone Stochastic Variational Inequality Problems. - Afrooz Jalilzadeh; Uday V. Shanbhag (WSC, 2019)

Inexact-Proximal Accelerated Gradient Method for Stochastic Nonconvex Constrained Optimization Problems. - Morteza Boroun; Afrooz Jalilzadeh (WSC, 2021)

Primal-dual incremental gradient method for nonsmooth and convex optimization problems. - Afrooz Jalilzadeh (Optim. Lett., 2021)

An Inexact Variance-Reduced Method for Stochastic Quasi-Variational Inequality Problems with an Application In Healthcare. - Zeinab Alizadeh; Brianna M. Otero; Afrooz Jalilzadeh (WSC, 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)

Randomized Primal-Dual Methods with Adaptive Step Sizes. - Erfan Yazdandoost Hamedani; Afrooz Jalilzadeh; Necdet S. Aybat (AISTATS, 2023)

Accelerated Primal-dual Scheme for a Class of Stochastic Nonconvex-concave Saddle Point Problems. - Morteza Boroun; Zeinab Alizadeh; Afrooz Jalilzadeh (ACC, 2023)

An Accelerated Asynchronous Distributed Method for Convex Constrained Optimization Problems. - Nazanin Abolfazli; Afrooz Jalilzadeh; Erfan Yazdandoost Hamedani (CISS, 2023)

Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems. - Morteza Boroun; Erfan Yazdandoost Hamedani; Afrooz Jalilzadeh (NeurIPS, 2023)

A Projection-Based Algorithm for Solving Stochastic Inverse Variational Inequality Problems. - Zeinab Alizadeh; Felipe Parra Polanco; Afrooz Jalilzadeh (WSC, 2023)

Probability maximization via Minkowski functionals: convex representations and tractable resolution. - I. E. Bardakci; Afrooz Jalilzadeh; Constantino M. Lagoa; Uday V. Shanbhag (Math. Program., 2023)

A stochastic variance-reduced accelerated primal-dual method for finite-sum saddle-point problems. - Erfan Yazdandoost Hamedani; Afrooz Jalilzadeh (Comput. Optim. Appl., 2023)

Randomized Lagrangian stochastic approximation for large-scale constrained stochastic Nash games. - Zeinab Alizadeh; Afrooz Jalilzadeh; Farzad Yousefian (Optim. Lett., 2024)

Stochastic Approximation for Estimating the Price of Stability in Stochastic Nash Games. - Afrooz Jalilzadeh; Farzad Yousefian; Mohammadjavad Ebrahimi (ACM Trans. Model. Comput. Simul., 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., 2024)