| Smoothed variable sample-size accelerated proximal methods for nonsmooth stochastic convex programs A Jalilzadeh, UV Shanbhag, JH Blanchet, PW Glynn Stochastic Systems 12 (4), 373-410, 2022 | 34 | 2022 |
| Randomized primal-dual methods with adaptive step sizes EY Hamedani, A Jalilzadeh, NS Aybat International Conference on Artificial Intelligence and Statistics, 11185-11212, 2023 | 31* | 2023 |
| A variable sample-size stochastic quasi-Newton method for smooth and nonsmooth stochastic convex optimization A Jalilzadeh, A Nediæ, UV Shanbhag, F Yousefian Mathematics of Operations Research 47 (1), 690-719, 2022 | 27 | 2022 |
| A proximal-point algorithm with variable sample-sizes (PPAWSS) for monotone stochastic variational inequality problems A Jalilzadeh, UV Shanbhag 2019 Winter Simulation Conference (WSC), 3551-3562, 2019 | 14 | 2019 |
| A stochastic variance-reduced accelerated primal-dual method for finite-sum saddle-point problems E Yazdandoost Hamedani, A Jalilzadeh Computational Optimization and Applications 85 (2), 653-679, 2023 | 12 | 2023 |
| eg-VSSA: An extragradient variable sample-size stochastic approximation scheme: Error analysis and complexity trade-offs A Jalilzadeh, UV Shanbhag 2016 Winter Simulation Conference (WSC), 690-701, 2016 | 12 | 2016 |
| Accelerated primal-dual scheme for a class of stochastic nonconvex-concave saddle point problems M Boroun, Z Alizadeh, A Jalilzadeh 2023 American control conference (ACC), 204-209, 2023 | 11 | 2023 |
| Randomized Lagrangian stochastic approximation for large-scale constrained stochastic Nash games Z Alizadeh, A Jalilzadeh, F Yousefian Optimization Letters 18 (2), 377-401, 2024 | 8 | 2024 |
| An Inexact Variance-Reduced Method For Stochastic Quasi-Variational Inequality Problems With An Application In Healthcare Z Alizadeh, BM Otero, A Jalilzadeh 2022 Winter Simulation Conference (WSC), 3099-3109, 2022 | 6 | 2022 |
| A doubly-randomized block-coordinate primal-dual method for large-scale saddle point problems A Jalilzadeh, EY Hamedani, NS Aybat arXiv preprint arXiv:1907.03886, 2019 | 6 | 2019 |
| Projection-free methods for solving nonconvex-concave saddle point problems M Boroun, E Yazdandoost Hamedani, A Jalilzadeh Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| Probability Maximization via Minkowski Functionals: Convex Representations and Tractable Resolution IE Bardakci, A Jalilzadeh, C Lagoa, UV Shanbhag Mathematical Programming, 2022 | 5 | 2022 |
| Stochastic approximation for estimating the price of stability in stochastic nash games A Jalilzadeh, F Yousefian, M Ebrahimi ACM Transactions on Modeling and Computer Simulation 34 (2), 1-24, 2024 | 4 | 2024 |
| A Projection-Based Algorithm for Solving Stochastic Inverse Variational Inequality Problems Z Alizadeh, FP Polanco, A Jalilzadeh 2023 Winter Simulation Conference (WSC), 3532-3540, 2023 | 4 | 2023 |
| Primal-dual incremental gradient method for nonsmooth and convex optimization problems A Jalilzadeh Optimization Letters 15 (8), 2541-2554, 2021 | 4 | 2021 |
| Inexact-Proximal Accelerated Gradient Method for Stochastic Nonconvex Constrained Optimization Problems M Boroun, A Jalilzadeh 2021 Winter Simulation Conference (WSC), 1-12, 2021 | 4 | 2021 |
| Optimized and automated secure ic design flow: A defense-in-depth approach KI Gubbi, BS Latibari, MA Chowdhury, A Jalilzadeh, EY Hamedani, ... IEEE Transactions on Circuits and Systems I: Regular Papers, 2024 | 3 | 2024 |
| An Accelerated Asynchronous Distributed Method for Convex Constrained Optimization Problems N Abolfazli, A Jalilzadeh, EY Hamedani 2023 57th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2023 | 2 | 2023 |
| Open Problem—Iterative Schemes for Stochastic Optimization: Convergence Statements and Limit Theorems A Jalilzadeh, J Lei, UV Shanbhag Stochastic Systems 9 (3), 299-302, 2019 | 1 | 2019 |
| Probability Maximization via Minkowski Functionals: Convex Representations and Tractable Resolution IE Bardakci, A Jalilzadeh, C Lagoa, UV Shanbhag arXiv preprint arXiv:1802.09682, 2018 | 1 | 2018 |
Uday V. ShanbhagProfessor, Industrial and Operations Engineering, University of Michigan, Ann Arbor, MI.Verified email at umich.edu
