Saeed Ghadimi - RankMe

35 papers A* 4A 1Journal 30

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing. J. Optim. Theory Appl. Alireza Aghasi, Saeed Ghadimi
2025	J	`jnl`	New Insights and Algorithms for Optimal Diagonal Preconditioning. CoRR Saeed Ghadimi, Woosuk L. Jung, Arnesh Sujanani, David Torregrosa-Belén, Henry Wolkowicz
2024	J	`jnl`	An Adversarially Robust Formulation of Linear Regression With Missing Data. IEEE Trans. Signal Process. Alireza Aghasi, Saeed Ghadimi, Yue Xing, MohammadJavad Feizollahi
2024	J	`jnl`	Fully Zeroth-Order Bilevel Programming via Gaussian Smoothing. CoRR Alireza Aghasi, Saeed Ghadimi
2024	J	`jnl`	Stochastic search for a parametric cost function approximation: Energy storage with rolling forecasts. Eur. J. Oper. Res. Saeed Ghadimi, Warren B. Powell
2023	J	`jnl`	A One-Sample Decentralized Proximal Algorithm for Non-Convex Stochastic Composite Optimization. CoRR Tesi Xiao, Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi
2023	A	`conf`	A one-sample decentralized proximal algorithm for non-convex stochastic composite optimization. UAI Tesi Xiao, Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi
2023	J	`jnl`	Learn What NOT to Learn: Towards Generative Safety in Chatbots. CoRR Leila Khalatbari, Yejin Bang, Dan Su, Willy Chung, Saeed Ghadimi, Hossein Sameti, Pascale Fung
2023	J	`jnl`	Stochastic Nested Compositional Bi-level Optimization for Robust Feature Learning. CoRR Xuxing Chen, Krishnakumar Balasubramanian, Saeed Ghadimi
2022	A*	`conf`	A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization. NeurIPS Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi
2022	A*	`conf`	Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data. NeurIPS Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi
2022	J	`jnl`	Improved complexities for stochastic conditional gradient methods under interpolation-like conditions. Oper. Res. Lett. Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi
2022	J	`jnl`	Projection-free Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data. CoRR Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi
2022	J	`jnl`	RIGID: Robust Linear Regression with Missing Data. CoRR Alireza Aghasi, MohammadJavad Feizollahi, Saeed Ghadimi
2022	J	`jnl`	Stochastic Multilevel Composition Optimization Algorithms with Level-Independent Convergence Rates. SIAM J. Optim. Krishnakumar Balasubramanian, Saeed Ghadimi, Anthony Nguyen
2022	J	`jnl`	Stochastic Zeroth-Order Optimization under Nonstationarity and Nonconvexity. J. Mach. Learn. Res. Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra
2022	J	`jnl`	The Parametric Cost Function Approximation: A new approach for multistage stochastic programming. CoRR Warren B. Powell, Saeed Ghadimi
2022	J	`jnl`	Zeroth-Order Nonconvex Stochastic Optimization: Handling Constraints, High Dimensionality, and Saddle Points. Found. Comput. Math. Krishnakumar Balasubramanian, Saeed Ghadimi
2020	J	`jnl`	A Single Timescale Stochastic Approximation Method for Nested Stochastic Optimization. SIAM J. Optim. Saeed Ghadimi, Andrzej Ruszczynski, Mengdi Wang
2020	A*	`conf`	Escaping Saddle-Point Faster under Interpolation-like Conditions. NeurIPS Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra
2020	J	`jnl`	Escaping Saddle-Points Faster under Interpolation-like Conditions. CoRR Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra
2020	J	`jnl`	Improved Complexities for Stochastic Conditional Gradient Methods under Interpolation-like Conditions. CoRR Tesi Xiao, Krishnakumar Balasubramanian, Saeed Ghadimi
2020	J	`jnl`	Stochastic Multi-level Composition Optimization Algorithms with Level-Independent Convergence Rates. CoRR Krishnakumar Balasubramanian, Saeed Ghadimi, Anthony Nguyen
2019	J	`jnl`	Conditional gradient type methods for composite nonlinear and stochastic optimization. Math. Program. Saeed Ghadimi
2019	J	`jnl`	Generalized Uniformly Optimal Methods for Nonlinear Programming. J. Sci. Comput. Saeed Ghadimi, Guanghui Lan, Hongchao Zhang
2019	J	`jnl`	Multi-Point Bandit Algorithms for Nonstationary Online Nonconvex Optimization. CoRR Abhishek Roy, Krishnakumar Balasubramanian, Saeed Ghadimi, Prasant Mohapatra
2018	A*	`conf`	Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates. NeurIPS Krishnakumar Balasubramanian, Saeed Ghadimi
2018	J	`jnl`	Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates. CoRR Krishnakumar Balasubramanian, Saeed Ghadimi
2016	J	`jnl`	Accelerated gradient methods for nonconvex nonlinear and stochastic programming. Math. Program. Saeed Ghadimi, Guanghui Lan
2016	J	`jnl`	Mini-batch stochastic approximation methods for nonconvex stochastic composite optimization. Math. Program. Saeed Ghadimi, Guanghui Lan, Hongchao Zhang
2015	J	`jnl`	The single facility location problem with time-dependent weights and relocation cost over a continuous time horizon. J. Oper. Res. Soc. Reza Zanjirani Farahani, Wai Yuen Szeto, Saeed Ghadimi
2013	J	`jnl`	Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization, II: Shrinking Procedures and Optimal Algorithms. SIAM J. Optim. Saeed Ghadimi, Guanghui Lan
2013	J	`jnl`	Stochastic First- and Zeroth-Order Methods for Nonconvex Stochastic Programming. SIAM J. Optim. Saeed Ghadimi, Guanghui Lan
2013	J	`jnl`	Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming. CoRR Saeed Ghadimi, Guanghui Lan
2012	J	`jnl`	Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization I: A Generic Algorithmic Framework. SIAM J. Optim. Saeed Ghadimi, Guanghui Lan