Ahmed Khaled - RankMe

31 papers A* 8A 2Misc 1Journal 20

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Novel Unified Parametric Assumption for Nonconvex Optimization. CoRR Artem Riabinin, Ahmed Khaled, Peter Richtárik
2025	J	`jnl`	MuonBP: Faster Muon via Block-Periodic Orthogonalization. CoRR Ahmed Khaled, Kaan Ozkara, Tao Yu, Mingyi Hong, Youngsuk Park
2025	J	`jnl`	Understanding Outer Optimizers in Local SGD: Learning Rates, Momentum, and Acceleration. CoRR Ahmed Khaled, Satyen Kale, Arthur Douillard, Chi Jin, Rob Fergus, Manzil Zaheer
2024	A*	`conf`	Directional Smoothness and Gradient Methods: Convergence and Adaptivity. NeurIPS Aaron Mishkin, Ahmed Khaled, Yuanhao Wang, Aaron Defazio, Robert M. Gower
2024	J	`jnl`	Directional Smoothness and Gradient Methods: Convergence and Adaptivity. CoRR Aaron Mishkin, Ahmed Khaled, Yuanhao Wang, Aaron Defazio, Robert M. Gower
2024	A*	`conf`	Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences. NeurIPS Abdurakhmon Sadiev, Grigory Malinovsky, Eduard Gorbunov, Igor Sokolov, Ahmed Khaled, Konstantin Burlachenko, Peter Richtárik
2024	A*	`conf`	The Road Less Scheduled. NeurIPS Aaron Defazio, Xingyu Yang, Ahmed Khaled, Konstantin Mishchenko, Harsh Mehta, Ashok Cutkosky
2024	J	`jnl`	The Road Less Scheduled. CoRR Aaron Defazio, Xingyu Yang, Harsh Mehta, Konstantin Mishchenko, Ahmed Khaled, Ashok Cutkosky
2024	A*	`conf`	Tuning-Free Stochastic Optimization. ICML Ahmed Khaled, Chi Jin
2024	J	`jnl`	Tuning-Free Stochastic Optimization. CoRR Ahmed Khaled, Chi Jin
2023	J	`jnl`	Better Theory for SGD in the Nonconvex World. Trans. Mach. Learn. Res. Ahmed Khaled, Peter Richtárik
2023	A*	`conf`	DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method. NeurIPS Ahmed Khaled, Konstantin Mishchenko, Chi Jin
2023	J	`jnl`	DoWG Unleashed: An Efficient Universal Parameter-Free Gradient Descent Method. CoRR Ahmed Khaled, Konstantin Mishchenko, Chi Jin
2023	A*	`conf`	Faster federated optimization under second-order similarity. ICLR Ahmed Khaled, Chi Jin
2023	J	`jnl`	Unified Analysis of Stochastic Gradient Methods for Composite Convex and Smooth Optimization. J. Optim. Theory Appl. Ahmed Khaled, Othmane Sebbouh, Nicolas Loizou, Robert M. Gower, Peter Richtárik
2022	A	`conf`	FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning. AISTATS Elnur Gasanov, Ahmed Khaled, Samuel Horváth, Peter Richtárik
2022	J	`jnl`	Faster federated optimization under second-order similarity. CoRR Ahmed Khaled, Chi Jin
2022	J	`jnl`	Federated Optimization Algorithms with Random Reshuffling and Gradient Compression. CoRR Abdurakhmon Sadiev, Grigory Malinovsky, Eduard Gorbunov, Igor Sokolov, Ahmed Khaled, Konstantin Burlachenko, Peter Richtárik
2022	A*	`conf`	Proximal and Federated Random Reshuffling. ICML Konstantin Mishchenko, Ahmed Khaled, Peter Richtárik
2021	J	`jnl`	FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning. CoRR Elnur Gasanov, Ahmed Khaled, Samuel Horváth, Peter Richtárik
2021	J	`jnl`	Proximal and Federated Random Reshuffling. CoRR Konstantin Mishchenko, Ahmed Khaled, Peter Richtárik
2020	Misc	`conf`	Applying fast matrix multiplication to neural networks. SAC Ahmed Khaled, Amir F. Atiya, Ahmed H. Abdel-Gawad
2020	J	`jnl`	Better Theory for SGD in the Nonconvex World. CoRR Ahmed Khaled, Peter Richtárik
2020	A*	`conf`	Random Reshuffling: Simple Analysis with Vast Improvements. NeurIPS Konstantin Mishchenko, Ahmed Khaled, Peter Richtárik
2020	J	`jnl`	Random Reshuffling: Simple Analysis with Vast Improvements. CoRR Konstantin Mishchenko, Ahmed Khaled, Peter Richtárik
2020	A	`conf`	Tighter Theory for Local SGD on Identical and Heterogeneous Data. AISTATS Ahmed Khaled, Konstantin Mishchenko, Peter Richtárik
2020	J	`jnl`	Unified Analysis of Stochastic Gradient Methods for Composite Convex and Smooth Optimization. CoRR Ahmed Khaled, Othmane Sebbouh, Nicolas Loizou, Robert M. Gower, Peter Richtárik
2019	J	`jnl`	Better Communication Complexity for Local SGD. CoRR Ahmed Khaled, Konstantin Mishchenko, Peter Richtárik
2019	J	`jnl`	Distributed Fixed Point Methods with Compressed Iterates. CoRR Sélim Chraibi, Ahmed Khaled, Dmitry Kovalev, Peter Richtárik, Adil Salim, Martin Takác
2019	J	`jnl`	First Analysis of Local GD on Heterogeneous Data. CoRR Ahmed Khaled, Konstantin Mishchenko, Peter Richtárik
2019	J	`jnl`	Gradient Descent with Compressed Iterates. CoRR Ahmed Khaled, Peter Richtárik