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Belhal Karimi

8 papers · 2019–2023 · 6 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (13) 🐝 Cross-Pollinator (15) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸ”₯ Unstoppable (5)

Conferences

ACML (2) NIPS (2) ALT (1) COLT (1) ICLR (1) UAI (1)

Top co-authors

Ping Li (6) Xiaoyun Li (3) Eric Moulines (3) Hoi-To Wai (3) Blazej Miasojedow (1) Yingxue Zhou (1) Zhiqiang Xu (1) Jinxing Yu (1) Weijie Zhao (1) Jun-Kun Wang (1)

Keywords

adaptive gradient method (4) nonconvex optimization (3) convergence analysis (3) latent variable model (2) stochastic approximation (2) neural network optimization (2) policy gradient (1) global convergence (1) expectation maximization (1) distributed learning (1) incremental learning (1) decentralized optimization (1) variance reduction (1) markov chain (1) distributed training (1) non-asymptotic analysis (1) adam optimizer (1) generalization performance (1) communication cost (1) non-asymptotic bound (1)

Papers

Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning UAI 2023
Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems ALT 2022
On the Convergence of Decentralized Adaptive Gradient Methods ACML 2022
On Distributed Adaptive Optimization with Gradient Compression ICLR 2022
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization ACML 2021
Towards Better Generalization of Adaptive Gradient Methods NIPS 2020
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods NIPS 2019
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme COLT 2019