Belhal Karimi

According to our database, Belhal Karimi authored at least 17 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models.

Belhal Karimi, Jianwen Xie, Ping Li

CoRR, 2023

Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning.

Belhal Karimi, Ping Li, Xiaoyun Li

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

A Class of Two-Timescale Stochastic EM Algorithms for Nonconvex Latent Variable Models.

Belhal Karimi, Ping Li

CoRR, 2022

Variational Flow Graphical Model.

Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Joint Learning of Object Graph and Relation Graph for Visual Question Answering.

Hao Li, Xu Li, Belhal Karimi, Jie Chen, Mingming Sun

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

On Distributed Adaptive Optimization with Gradient Compression.

Xiaoyun Li, Belhal Karimi, Ping Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems.

Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li

Proceedings of the IEEE International Conference on Big Data, 2022

Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems.

Belhal Karimi, Hoi-To Wai, Eric Moulines, Ping Li

Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022

On the Convergence of Decentralized Adaptive Gradient Methods.

Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li

Proceedings of the Asian Conference on Machine Learning, 2022

2021

Fed-LAMB: Layerwise and Dimensionwise Locally Adaptive Optimization Algorithm.

Belhal Karimi, Xiaoyun Li, Ping Li

CoRR, 2021

Two-Timescale Stochastic EM Algorithms.

Belhal Karimi, Ping Li

Proceedings of the IEEE International Symposium on Information Theory, 2021

An Optimistic Acceleration of AMSGrad for Nonconvex Optimization.

Jun-Kun Wang, Xiaoyun Li, Belhal Karimi, Ping Li

Proceedings of the Asian Conference on Machine Learning, 2021

2020

f-SAEM: A fast stochastic approximation of the EM algorithm for nonlinear mixed effects models.

Belhal Karimi, Marc Lavielle, Eric Moulines

Comput. Stat. Data Anal., 2020

FedSKETCH: Communication-Efficient and Private Federated Learning via Sketching.

Farzin Haddadpour, Belhal Karimi, Ping Li, Xiaoyun Li

CoRR, 2020

Towards Better Generalization of Adaptive Gradient Methods.

Yingxue Zhou, Belhal Karimi, Jinxing Yu, Zhiqiang Xu, Ping Li

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

On the Global Convergence of (Fast) Incremental Expectation Maximization Methods.

Belhal Karimi, Hoi-To Wai, Eric Moulines, Marc Lavielle

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Non-asymptotic Analysis of Biased Stochastic Approximation Scheme.

Belhal Karimi, Blazej Miasojedow, Eric Moulines, Hoi-To Wai

Proceedings of the Conference on Learning Theory, 2019