Belhal Karimi

24 papers A* 5A 2B 3C 2Journal 12
YearRankTypeTitle / Venue / Authors
2023 A conf
Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning.
UAI
Belhal Karimi, Ping Li, Xiaoyun Li
2023 J jnl
STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models.
CoRR
Belhal Karimi, Jianwen Xie, Ping Li
2022 J jnl
A Class of Two-Timescale Stochastic EM Algorithms for Nonconvex Latent Variable Models.
CoRR
Belhal Karimi, Ping Li
2022 B conf
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems.
IEEE Big Data
Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li
2022 J jnl
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems.
CoRR
Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li
2022 A conf
Joint Learning of Object Graph and Relation Graph for Visual Question Answering.
ICME
Hao Li, Xu Li, Belhal Karimi, Jie Chen, Mingming Sun
2022 J jnl
Joint learning of object graph and relation graph for visual question answering.
CoRR
Hao Li, Xu Li, Belhal Karimi, Jie Chen, Mingming Sun
2022 B conf
Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems.
ALT
Belhal Karimi, Hoi-To Wai, Eric Moulines, Ping Li
2022 A* conf
On Distributed Adaptive Optimization with Gradient Compression.
ICLR
Xiaoyun Li, Belhal Karimi, Ping Li
2022 J jnl
On Distributed Adaptive Optimization with Gradient Compression.
CoRR
Xiaoyun Li, Belhal Karimi, Ping Li
2022 C conf
On the Convergence of Decentralized Adaptive Gradient Methods.
ACML
Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li
2022 A* conf
Variational Flow Graphical Model.
KDD
Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li
2022 J jnl
Variational Flow Graphical Model.
CoRR
Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li
2021 C conf
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization.
ACML
Jun-Kun Wang, Xiaoyun Li, Belhal Karimi, Ping Li
2021 J jnl
Fed-LAMB: Layerwise and Dimensionwise Locally Adaptive Optimization Algorithm.
CoRR
Belhal Karimi, Xiaoyun Li, Ping Li
2021 J jnl
On the Convergence of Decentralized Adaptive Gradient Methods.
CoRR
Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li
2021 B conf
Two-Timescale Stochastic EM Algorithms.
ISIT
Belhal Karimi, Ping Li
2020 J jnl
FedSKETCH: Communication-Efficient and Private Federated Learning via Sketching.
CoRR
Farzin Haddadpour, Belhal Karimi, Ping Li, Xiaoyun Li
2020 A* conf
Towards Better Generalization of Adaptive Gradient Methods.
NeurIPS
Yingxue Zhou, Belhal Karimi, Jinxing Yu, Zhiqiang Xu, Ping Li
2020 J jnl
f-SAEM: A fast stochastic approximation of the EM algorithm for nonlinear mixed effects models.
Comput. Stat. Data Anal.
Belhal Karimi, Marc Lavielle, Eric Moulines
2019 A* conf
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme.
COLT
Belhal Karimi, Blazej Miasojedow, Eric Moulines, Hoi-To Wai
2019 J jnl
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme.
CoRR
Belhal Karimi, Blazej Miasojedow, Eric Moulines, Hoi-To Wai
2019 A* conf
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods.
NeurIPS
Belhal Karimi, Hoi-To Wai, Eric Moulines, Marc Lavielle
2019 J jnl
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods.
CoRR
Belhal Karimi, Hoi-To Wai, Eric Moulines, Marc Lavielle