Stochastic first-and zeroth-order methods for nonconvex stochastic programming S Ghadimi, G Lan SIAM Journal on Optimization 23 (4), 2341-2368, 2013 | 1826 | 2013 |
Accelerated Gradient Methods for Nonconvex Nonlinear and Stochastic Programming S Ghadimi, G Lan Mathathematical Programming., Ser. A DOI 10.1007/s10107-015-0871-8, 2015 | 689 | 2015 |
Mini-batch Stochastic Approximation Methods for Nonconvex Stochastic Composite Optimization S Ghadimi, G Lan, H Zhang Mathematical Programming 155, 267-305, 2016 | 555 | 2016 |
Optimal stochastic approximation algorithms for strongly convex stochastic composite optimization i: A generic algorithmic framework S Ghadimi, G Lan SIAM Journal on Optimization 22 (4), 1469-1492, 2012 | 432 | 2012 |
Approximation Methods for Bilevel Programming S Ghadimi, M Wang arXiv preprint arXiv:1802.02246, 2018 | 308 | 2018 |
Optimal stochastic approximation algorithms for strongly convex stochastic composite optimization, II: shrinking procedures and optimal algorithms S Ghadimi, G Lan SIAM Journal on Optimization 23 (4), 2061-2089, 2013 | 247 | 2013 |
A Single Time-Scale Stochastic Approximation Method for Nested Stochastic Optimization S Ghadimi, A Ruszczyński, M Wang SIAM Journal on Optimization 30 (1), 960–979, 2020 | 143 | 2020 |
Zeroth-order Nonconvex Stochastic Optimization: Handling Constraints, High-Dimensionality, and Saddle-Points K Balasubramanian, S Ghadimi Foundations of Computational Mathematics 22, 35-76, 2022 | 125 | 2022 |
Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates K Balasubramanian, S Ghadimi NIPS, 2018 | 122 | 2018 |
Generalized Uniformly Optimal Methods for Nonlinear Programming S Ghadimi, G Lan, H Zhang Journal of Scientific Computing, 2019 | 83 | 2019 |
Stochastic Multi-level Composition Optimization Algorithms with Level-Independent Convergence Rates K Balasubramanian, S Ghadimi, A Nguyen SIAM Journal on Optimization 32 (2), 2022 | 51 | 2022 |
Second-Order Methods with Cubic Regularization Under Inexact Information S Ghadimi, H Liu, T Zhang https://arxiv.org/abs/1710.05782, 2017 | 44 | 2017 |
Conditional gradient type methods for composite nonlinear and stochastic optimization S Ghadimi Mathematical Programming, 2018 | 42 | 2018 |
Coordination of advertising in supply chain management with cooperating manufacturer and retailers S Ghadimi, F Szidarovszky, RZ Farahani, A Yousefzadeh Khiabani IMA Journal of Management Mathematics 24 (1), 1-19, 2013 | 39 | 2013 |
Stochastic Zeroth-order Discretizations of Langevin Diffusions for Bayesian Inference A Roy, L Shen, K Balasubramanian, S Ghadimi Bernoulli 28 (3), 1810-1834, 2022 | 17* | 2022 |
Multi-point bandit algorithms for nonstationary online nonconvex optimization A Roy, K Balasubramanian, S Ghadimi, P Mohapatra arXiv preprint arXiv:1907.13616, 2019 | 17 | 2019 |
Efficient Algorithms for High-Dimensional Quantum Optimal Control of a Transmon Qubit Z Leng, P Mundada, S Ghadimi, A Houck Physical Review Applied 19, 2023 | 16* | 2023 |
Reinforcement Learning via Parametric Cost Function Approximation for Multistage Stochastic Programming S Ghadimi, R Perkins, W Powell http://www.optimization-online.org/DB_HTML/2018/12/6999.html, 2018 | 16 | 2018 |
The Parametric Cost Function Approximation: A new approach for multistage stochastic programming WB Powell, S Ghadimi arXiv preprint arXiv:2201.00258, 2022 | 13 | 2022 |
Escaping Saddle-Point Faster under Interpolation-like Conditions PM Abhiskek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi Advances in Neural Information Processing 33, 2020 | 13* | 2020 |