Saeed Ghadimi

According to our database, Saeed Ghadimi authored at least 30 papers between 2012 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

New Insights and Algorithms for Optimal Diagonal Preconditioning.

Saeed Ghadimi, Woosuk L. Jung, Arnesh Sujanani, David Torregrosa-Belén, Henry Wolkowicz

CoRR, September, 2025

Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing.

Alireza Aghasi, Saeed Ghadimi

J. Optim. Theory Appl., 2025

2024

Stochastic search for a parametric cost function approximation: Energy storage with rolling forecasts.

Saeed Ghadimi, Warren B. Powell

Eur. J. Oper. Res., January, 2024

An Adversarially Robust Formulation of Linear Regression With Missing Data.

Alireza Aghasi, Saeed Ghadimi, Yue Xing, MohammadJavad Feizollahi

IEEE Trans. Signal Process., 2024

2023

Stochastic Nested Compositional Bi-level Optimization for Robust Feature Learning.

Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi

CoRR, 2023

Learn What NOT to Learn: Towards Generative Safety in Chatbots.

Leila Khalatbari, Yejin Bang, Dan Su, Willy Chung, Saeed Ghadimi, Hossein Sameti, Pascale Fung

CoRR, 2023

A one-sample decentralized proximal algorithm for non-convex stochastic composite optimization.

Tesi Xiao, Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Stochastic Multilevel Composition Optimization Algorithms with Level-Independent Convergence Rates.

Krishnakumar Balasubramanian, Saeed Ghadimi, Anthony Nguyen

SIAM J. Optim., 2022

Improved complexities for stochastic conditional gradient methods under interpolation-like conditions.

Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi

Oper. Res. Lett., 2022

Stochastic Zeroth-Order Optimization under Nonstationarity and Nonconvexity.

Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra

J. Mach. Learn. Res., 2022

Zeroth-Order Nonconvex Stochastic Optimization: Handling Constraints, High Dimensionality, and Saddle Points.

Krishnakumar Balasubramanian, Saeed Ghadimi

Found. Comput. Math., 2022

Projection-free Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data.

Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi

CoRR, 2022

RIGID: Robust Linear Regression with Missing Data.

Alireza Aghasi, MohammadJavad Feizollahi, Saeed Ghadimi

CoRR, 2022

The Parametric Cost Function Approximation: A new approach for multistage stochastic programming.

Warren B. Powell, Saeed Ghadimi

CoRR, 2022

A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization.

Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data.

Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020

A Single Timescale Stochastic Approximation Method for Nested Stochastic Optimization.

Saeed Ghadimi, Andrzej Ruszczynski, Mengdi Wang

SIAM J. Optim., 2020

Escaping Saddle-Points Faster under Interpolation-like Conditions.

Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra

CoRR, 2020

Stochastic Multi-level Composition Optimization Algorithms with Level-Independent Convergence Rates.

Krishnakumar Balasubramanian, Saeed Ghadimi, Anthony Nguyen

CoRR, 2020

Escaping Saddle-Point Faster under Interpolation-like Conditions.

Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Conditional gradient type methods for composite nonlinear and stochastic optimization.

Saeed Ghadimi

Math. Program., 2019

Generalized Uniformly Optimal Methods for Nonlinear Programming.

Saeed Ghadimi, Guanghui Lan, Hongchao Zhang

J. Sci. Comput., 2019

Multi-Point Bandit Algorithms for Nonstationary Online Nonconvex Optimization.

Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra

CoRR, 2019

2018

Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates.

Krishnakumar Balasubramanian, Saeed Ghadimi

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization.

Saeed Ghadimi, Guanghui Lan, Hongchao Zhang

Math. Program., 2016

Accelerated gradient methods for nonconvex nonlinear and stochastic programming.

Saeed Ghadimi, Guanghui Lan

Math. Program., 2016

2015

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

2013

Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming.

Saeed Ghadimi, Guanghui Lan

SIAM J. Optim., 2013

Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization, II: Shrinking Procedures and Optimal Algorithms.

Saeed Ghadimi, Guanghui Lan

SIAM J. Optim., 2013

2012

Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization I: A Generic Algorithmic Framework.

Saeed Ghadimi, Guanghui Lan

SIAM J. Optim., 2012