Karimi, Belhal

8 publications

UAI 2023 Fed-LAMB: Layer-Wise and Dimension-Wise Locally Adaptive Federated Learning Belhal Karimi, Ping Li, Xiaoyun Li

ALT 2022 Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems Belhal Karimi, Hoi-To Wai, Eric Moulines, Ping Li

ICLR 2022 On Distributed Adaptive Optimization with Gradient Compression Xiaoyun Li, Belhal Karimi, Ping Li

ACML 2022 On the Convergence of Decentralized Adaptive Gradient Methods Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li

ACML 2021 An Optimistic Acceleration of AMSGrad for Nonconvex Optimization Jun-Kun Wang, Xiaoyun Li, Belhal Karimi, Ping Li

NeurIPS 2020 Towards Better Generalization of Adaptive Gradient Methods Yingxue Zhou, Belhal Karimi, Jinxing Yu, Zhiqiang Xu, Ping Li

COLT 2019 Non-Asymptotic Analysis of Biased Stochastic Approximation Scheme Belhal Karimi, Blazej Miasojedow, Eric Moulines, Hoi-To Wai

NeurIPS 2019 On the Global Convergence of (Fast) Incremental Expectation Maximization Methods Belhal Karimi, Hoi-To Wai, Eric Moulines, Marc Lavielle