Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization I: A Generic Algorithmic Framework. - Saeed Ghadimi; Guanghui Lan (SIAM J. Optim., 2012)

Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization, II: Shrinking Procedures and Optimal Algorithms. - Saeed Ghadimi; Guanghui Lan (SIAM J. Optim., 2013)

Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming. - Saeed Ghadimi; Guanghui Lan (SIAM J. Optim., 2013)

The single facility location problem with time-dependent weights and relocation cost over a continuous time horizon. - Reza Zanjirani Farahani; Wai Yuen Szeto; Saeed Ghadimi (J. Oper. Res. Soc., 2015)

Accelerated gradient methods for nonconvex nonlinear and stochastic programming. - Saeed Ghadimi; Guanghui Lan (Math. Program., 2016)

Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization. - Saeed Ghadimi; Guanghui Lan; Hongchao Zhang (Math. Program., 2016)

Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates. - Krishnakumar Balasubramanian 002; Saeed Ghadimi (NeurIPS, 2018)

Multi-Point Bandit Algorithms for Nonstationary Online Nonconvex Optimization. - Abhishek Roy 005; Krishnakumar Balasubramanian 002; Saeed Ghadimi; Prasant Mohapatra (CoRR, 2019)

Generalized Uniformly Optimal Methods for Nonlinear Programming. - Saeed Ghadimi; Guanghui Lan; Hongchao Zhang (J. Sci. Comput., 2019)

Conditional gradient type methods for composite nonlinear and stochastic optimization. - Saeed Ghadimi (Math. Program., 2019)

Escaping Saddle-Point Faster under Interpolation-like Conditions. - Abhishek Roy 005; Krishnakumar Balasubramanian 002; Saeed Ghadimi; Prasant Mohapatra (NeurIPS, 2020)

Stochastic Multi-level Composition Optimization Algorithms with Level-Independent Convergence Rates. - Krishnakumar Balasubramanian 002; Saeed Ghadimi; Anthony Nguyen (CoRR, 2020)

Escaping Saddle-Points Faster under Interpolation-like Conditions. - Abhishek Roy 005; Krishnakumar Balasubramanian 002; Saeed Ghadimi; Prasant Mohapatra (CoRR, 2020)

A Single Timescale Stochastic Approximation Method for Nested Stochastic Optimization. - Saeed Ghadimi; Andrzej Ruszczynski; Mengdi Wang (SIAM J. Optim., 2020)

Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data. - Abhishek Roy 005; Krishnakumar Balasubramanian 002; Saeed Ghadimi (NeurIPS, 2022)

A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization. - Tesi Xiao; Krishnakumar Balasubramanian 002; Saeed Ghadimi (NeurIPS, 2022)

The Parametric Cost Function Approximation: A new approach for multistage stochastic programming. - Warren B. Powell; Saeed Ghadimi (CoRR, 2022)

RIGID: Robust Linear Regression with Missing Data. - Alireza Aghasi; MohammadJavad Feizollahi; Saeed Ghadimi (CoRR, 2022)

Projection-free Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data. - Abhishek Roy 005; Krishnakumar Balasubramanian 002; Saeed Ghadimi (CoRR, 2022)

Zeroth-Order Nonconvex Stochastic Optimization: Handling Constraints, High Dimensionality, and Saddle Points. - Krishnakumar Balasubramanian 002; Saeed Ghadimi (Found. Comput. Math., 2022)

Stochastic Zeroth-Order Optimization under Nonstationarity and Nonconvexity. - Abhishek Roy 005; Krishnakumar Balasubramanian 002; Saeed Ghadimi; Prasant Mohapatra (J. Mach. Learn. Res., 2022)

Improved complexities for stochastic conditional gradient methods under interpolation-like conditions. - Tesi Xiao; Krishnakumar Balasubramanian 002; Saeed Ghadimi (Oper. Res. Lett., 2022)

Stochastic Multilevel Composition Optimization Algorithms with Level-Independent Convergence Rates. - Krishnakumar Balasubramanian 002; Saeed Ghadimi; Anthony Nguyen (SIAM J. Optim., 2022)

A one-sample decentralized proximal algorithm for non-convex stochastic composite optimization. - Tesi Xiao; Xuxing Chen; Krishnakumar Balasubramanian 002; Saeed Ghadimi (UAI, 2023)

Learn What NOT to Learn: Towards Generative Safety in Chatbots. - Leila Khalatbari; Yejin Bang; Dan Su 003; Willy Chung; Saeed Ghadimi; Hossein Sameti; Pascale Fung (CoRR, 2023)

Stochastic Nested Compositional Bi-level Optimization for Robust Feature Learning. - Xuxing Chen; Krishnakumar Balasubramanian 002; Saeed Ghadimi (CoRR, 2023)

An Adversarially Robust Formulation of Linear Regression With Missing Data. - Alireza Aghasi; Saeed Ghadimi; Yue Xing 002; MohammadJavad Feizollahi (IEEE Trans. Signal Process., 2024)

Stochastic search for a parametric cost function approximation: Energy storage with rolling forecasts. - Saeed Ghadimi; Warren B. Powell (Eur. J. Oper. Res., 2024)

Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing. - Alireza Aghasi; Saeed Ghadimi (J. Optim. Theory Appl., 2025)