Saeed Ghadimi

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 28

Top Topics

Facility Location

Stochastic Programming

Stochastic Optimization

Top Venues

Publications

Saeed Ghadimi, Warren B. Powell
Stochastic search for a parametric cost function approximation: Energy storage with rolling forecasts. Eur. J. Oper. Res. 312 (2) (2024)
Alireza Aghasi, Saeed Ghadimi
Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing. CoRR (2024)
Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi
Stochastic Nested Compositional Bi-level Optimization for Robust Feature Learning. CoRR (2023)
Leila Khalatbari, Yejin Bang, Dan Su, Willy Chung, Saeed Ghadimi, Hossein Sameti, Pascale Fung
Learn What NOT to Learn: Towards Generative Safety in Chatbots. CoRR (2023)
Tesi Xiao, Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi
A one-sample decentralized proximal algorithm for non-convex stochastic composite optimization. UAI (2023)
Tesi Xiao, Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi
A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization. CoRR (2023)
Alireza Aghasi, MohammadJavad Feizollahi, Saeed Ghadimi
RIGID: Robust Linear Regression with Missing Data. CoRR (2022)
Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi
Improved complexities for stochastic conditional gradient methods under interpolation-like conditions. Oper. Res. Lett. 50 (2) (2022)
Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi
Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data. NeurIPS (2022)
Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra
Stochastic Zeroth-Order Optimization under Nonstationarity and Nonconvexity. J. Mach. Learn. Res. 23 (2022)
Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi
A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization. NeurIPS (2022)
Warren B. Powell, Saeed Ghadimi
The Parametric Cost Function Approximation: A new approach for multistage stochastic programming. CoRR (2022)
Krishnakumar Balasubramanian, Saeed Ghadimi, Anthony Nguyen
Stochastic Multilevel Composition Optimization Algorithms with Level-Independent Convergence Rates. SIAM J. Optim. 32 (2) (2022)
Krishnakumar Balasubramanian, Saeed Ghadimi
Zeroth-Order Nonconvex Stochastic Optimization: Handling Constraints, High Dimensionality, and Saddle Points. Found. Comput. Math. 22 (1) (2022)
Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi
Projection-free Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data. CoRR (2022)
Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra
Escaping Saddle-Point Faster under Interpolation-like Conditions. NeurIPS (2020)
Krishnakumar Balasubramanian, Saeed Ghadimi, Anthony Nguyen
Stochastic Multi-level Composition Optimization Algorithms with Level-Independent Convergence Rates. CoRR (2020)
Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra
Escaping Saddle-Points Faster under Interpolation-like Conditions. CoRR (2020)
Saeed Ghadimi, Andrzej Ruszczynski, Mengdi Wang
A Single Timescale Stochastic Approximation Method for Nested Stochastic Optimization. SIAM J. Optim. 30 (1) (2020)
Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi
Improved Complexities for Stochastic Conditional Gradient Methods under Interpolation-like Conditions. CoRR (2020)
Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra
Multi-Point Bandit Algorithms for Nonstationary Online Nonconvex Optimization. CoRR (2019)
Saeed Ghadimi, Guanghui Lan, Hongchao Zhang
Generalized Uniformly Optimal Methods for Nonlinear Programming. J. Sci. Comput. 79 (3) (2019)
Saeed Ghadimi
Conditional gradient type methods for composite nonlinear and stochastic optimization. Math. Program. 173 (1-2) (2019)
Krishnakumar Balasubramanian, Saeed Ghadimi
Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates. CoRR (2018)
Krishnakumar Balasubramanian, Saeed Ghadimi
Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates. NeurIPS (2018)
Saeed Ghadimi, Guanghui Lan
Accelerated gradient methods for nonconvex nonlinear and stochastic programming. Math. Program. 156 (1-2) (2016)
Saeed Ghadimi, Guanghui Lan, Hongchao Zhang
Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization. Math. Program. 155 (1-2) (2016)
Reza Zanjirani Farahani, Wai Yuen Szeto, Saeed Ghadimi
The single facility location problem with time-dependent weights and relocation cost over a continuous time horizon. J. Oper. Res. Soc. 66 (2) (2015)
Saeed Ghadimi, Guanghui Lan
Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming. SIAM J. Optim. 23 (4) (2013)
Saeed Ghadimi, Guanghui Lan
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming. CoRR (2013)
Saeed Ghadimi, Guanghui Lan
Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization, II: Shrinking Procedures and Optimal Algorithms. SIAM J. Optim. 23 (4) (2013)
Saeed Ghadimi, Guanghui Lan
Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization I: A Generic Algorithmic Framework. SIAM J. Optim. 22 (4) (2012)