| On stochastic gradient and subgradient methods with adaptive steplength sequences F Yousefian, A Nedić, UV Shanbhag Automatica 48 (1), 56-67, 2012 | 122 | 2012 |
| On smoothing, regularization, and averaging in stochastic approximation methods for stochastic variational inequality problems F Yousefian, A Nedić, UV Shanbhag Mathematical Programming 165 (1), 391-431, 2017 | 55 | 2017 |
| Self-tuned stochastic approximation schemes for non-Lipschitzian stochastic multi-user optimization and Nash games F Yousefian, A Nedić, UV Shanbhag IEEE Transactions on Automatic Control 61 (7), 1753-1766, 2015 | 41 | 2015 |
| Optimal robust smoothing extragradient algorithms for stochastic variational inequality problems F Yousefian, A Nedić, UV Shanbhag 53rd IEEE Conference on Decision and Control, 5831-5836, 2014 | 34 | 2014 |
| On stochastic mirror-prox algorithms for stochastic cartesian variational inequalities: Randomized block coordinate and optimal averaging schemes F Yousefian, A Nedić, UV Shanbhag Set-Valued and Variational Analysis 26 (4), 789-819, 2018 | 32 | 2018 |
| A Regularized Smoothing Stochastic Approximation (RSSA) Algorithm for Stochastic Variational Inequality Problems F Yousefian, A Nedic, UV Shanbhag Proceedings of the 2013 Winter Simulation Conference (WSC),, 933-944, 2013 | 29 | 2013 |
| Stochastic gradient descent: recent trends D Newton, F Yousefian, R Pasupathy Recent Advances in Optimization and Modeling of Contemporary Problems, 193-220, 2018 | 14 | 2018 |
| A distributed adaptive steplength stochastic approximation method for monotone stochastic Nash games F Yousefian, A Nedić, UV Shanbhag 2013 American Control Conference, 4765-4770, 2013 | 14 | 2013 |
| Distributed adaptive steplength stochastic approximation schemes for Cartesian stochastic variational inequality problems F Yousefian, A Nedić, UV Shanbhag arXiv preprint arXiv:1301.1711, 2013 | 13 | 2013 |
| Recent trends in stochastic gradient descent for machine learning and big data D Newton, R Pasupathy, F Yousefian 2018 Winter Simulation Conference (WSC), 366-380, 2018 | 12 | 2018 |
| A method with convergence rates for optimization problems with variational inequality constraints HD Kaushik, F Yousefian SIAM Journal on Optimization 31 (3), 2171-2198, 2021 | 10 | 2021 |
| Stochastic quasi-Newton methods for non-strongly convex problems: convergence and rate analysis F Yousefian, A Nedić, UV Shanbhag 2016 IEEE 55th Conference on Decision and Control (CDC), 4496-4503, 2016 | 10 | 2016 |
| A variable sample-size stochastic quasi-Newton method for smooth and nonsmooth stochastic convex optimization A Jalilzadeh, A Nedić, UV Shanbhag, F Yousefian Mathematics of Operations Research 47 (1), 690-719, 2022 | 9 | 2022 |
| Convex nondifferentiable stochastic optimization: A local randomized smoothing technique F Yousefian, A Nedić, UV Shanbhag Proceedings of the 2010 American Control Conference, 4875-4880, 2010 | 9 | 2010 |
| On stochastic and deterministic quasi-Newton methods for nonstrongly convex optimization: Asymptotic convergence and rate analysis F Yousefian, A Nedic, UV Shanbhag SIAM Journal on Optimization 30 (2), 1144-1172, 2020 | 8 | 2020 |
| Self-tuned mirror descent schemes for smooth and nonsmooth high-dimensional stochastic optimization N Majlesinasab, F Yousefian, A Pourhabib IEEE Transactions on Automatic Control 64 (10), 4377-4384, 2019 | 8 | 2019 |
| An iterative regularized mirror descent method for ill-posed nondifferentiable stochastic optimization M Amini, F Yousefian arXiv preprint arXiv:1901.09506, 2019 | 7 | 2019 |
| A regularized adaptive steplength stochastic approximation scheme for monotone stochastic variational inequalities F Yousefian, A Nedić, UV Shanbhag Proceedings of the 2011 Winter Simulation Conference (WSC), 4110-4121, 2011 | 7 | 2011 |
| An iterative regularized incremental projected subgradient method for a class of bilevel optimization problems M Amini, F Yousefian 2019 American Control Conference (ACC), 4069-4074, 2019 | 6 | 2019 |
| Bilevel Distributed Optimization in Directed Networks F Yousefian 2021 American Control Conference (ACC), 2230-2235, 2021 | 5 | 2021 |
Uday V. ShanbhagProfessor, Industrial and Manufacturing Engineering, Pennsylvania State UniversityVerified email at psu.edu
