Belhal Karimi

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 24

Top Topics

Conditional Dependencies

Stochastic Approximation

Feature Engineering

Asymptotic Analysis

Top Venues

Publications

Belhal Karimi, Jianwen Xie, Ping Li
STANLEY: Stochastic Gradient Anisotropic Langevin Dynamics for Learning Energy-Based Models. CoRR (2023)
Belhal Karimi, Ping Li, Xiaoyun Li
Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning. UAI (2023)
Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems. Big Data (2022)
Belhal Karimi, Ping Li
A Class of Two-Timescale Stochastic EM Algorithms for Nonconvex Latent Variable Models. CoRR (2022)
Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li
Variational Flow Graphical Model. CoRR (2022)
Xiaoyun Li, Belhal Karimi, Ping Li
On Distributed Adaptive Optimization with Gradient Compression. ICLR (2022)
Weijie Zhao, Xuewu Jiao, Xinsheng Luo, Jingxue Li, Belhal Karimi, Ping Li
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems. CoRR (2022)
Belhal Karimi, Hoi-To Wai, Eric Moulines, Ping Li
Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems. ALT (2022)
Shaogang Ren, Belhal Karimi, Dingcheng Li, Ping Li
Variational Flow Graphical Model. KDD (2022)
Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li
On the Convergence of Decentralized Adaptive Gradient Methods. ACML (2022)
Xiaoyun Li, Belhal Karimi, Ping Li
On Distributed Adaptive Optimization with Gradient Compression. CoRR (2022)
Hao Li, Xu Li, Belhal Karimi, Jie Chen, Mingming Sun
Joint learning of object graph and relation graph for visual question answering. CoRR (2022)
Hao Li, Xu Li, Belhal Karimi, Jie Chen, Mingming Sun
Joint Learning of Object Graph and Relation Graph for Visual Question Answering. ICME (2022)
Belhal Karimi, Ping Li
Two-Timescale Stochastic EM Algorithms. ISIT (2021)
Jun-Kun Wang, Xiaoyun Li, Belhal Karimi, Ping Li
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization. ACML (2021)
Xiangyi Chen, Belhal Karimi, Weijie Zhao, Ping Li
On the Convergence of Decentralized Adaptive Gradient Methods. CoRR (2021)
Belhal Karimi, Xiaoyun Li, Ping Li
Fed-LAMB: Layerwise and Dimensionwise Locally Adaptive Optimization Algorithm. CoRR (2021)
Belhal Karimi, Marc Lavielle, Eric Moulines
f-SAEM: A fast stochastic approximation of the EM algorithm for nonlinear mixed effects models. Comput. Stat. Data Anal. 141 (2020)
Farzin Haddadpour, Belhal Karimi, Ping Li, Xiaoyun Li
FedSKETCH: Communication-Efficient and Private Federated Learning via Sketching. CoRR (2020)
Yingxue Zhou, Belhal Karimi, Jinxing Yu, Zhiqiang Xu, Ping Li
Towards Better Generalization of Adaptive Gradient Methods. NeurIPS (2020)
Belhal Karimi, Hoi-To Wai, Eric Moulines, Marc Lavielle
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods. NeurIPS (2019)
Belhal Karimi, Blazej Miasojedow, Eric Moulines, Hoi-To Wai
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme. COLT (2019)
Belhal Karimi, Hoi-To Wai, Eric Moulines, Marc Lavielle
On the Global Convergence of (Fast) Incremental Expectation Maximization Methods. CoRR (2019)
Belhal Karimi, Blazej Miasojedow, Eric Moulines, Hoi-To Wai
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme. CoRR (2019)