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Belhal Karimi
Belhal Karimi
Baidu Research USA, CCL
Verified email at polytechnique.edu - Homepage
Title
Cited by
Cited by
Year
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme
B Karimi, B Miasojedow, É Moulines, HT Wai
32nd Conference on Learning Theory (COLT 2019), 2019
532019
On the global convergence of (fast) incremental expectation maximization methods
B Karimi, HT Wai, É Moulines, M Lavielle
Advances in Neural Information Processing Systems (NeurIPS 2019), 2833-2843, 2019
282019
Towards Better Generalization of Adaptive Gradient Methods
Y Zhou, B Karimi, J Yu, Z Xu, P Li
Advances in Neural Information Processing Systems (NeurIPS), 2020, 2020
142020
Fedsketch: Communication-efficient and private federated learning via sketching
F Haddadpour, B Karimi, P Li, X Li
arXiv preprint arXiv:2008.04975, 2020
92020
f-SAEM: A fast Stochastic Approximation of the EM algorithm for nonlinear mixed effects models
B Karimi, M Lavielle, E Moulines
Computational Statistics & Data Analysis (CSDA) 141, 123-138, 2020
52020
On the Convergence Properties of the Mini-Batch EM and MCEM Algorithms
B Karimi, M Lavielle, É Moulines
HAL preprint hal: 02334485, 2019
52019
On the convergence of decentralized adaptive gradient methods
X Chen, B Karimi, W Zhao, P Li
arXiv preprint arXiv:2109.03194, 2021
32021
An Optimistic Acceleration of AMSGrad for Nonconvex Optimization
JK Wang, X Li, B Karimi, P Li
13th Asian Conference on Machine Learning (ACML), 2021, 422-437, 2021
32021
A doubly stochastic surrogate optimization scheme for non-convex finite-sum problems
B Karimi, HT Wai, E Moulines
1st Symposium on Advances in Approximate Bayesian Inference (AABI), 2018, 2019
32019
Joint learning of object graph and relation graph for visual question answering
H Li, X Li, B Karimi, J Chen, M Sun
IEEE International Conference on Multimedia & Expo (ICME), 2022, 2022
12022
Minimization by Incremental Stochastic Surrogate Optimization for Large Scale Nonconvex Problems
B Karimi, HT Wai, E Moulines, P Li
International Conference on Algorithmic Learning Theory (ALT), 606-637, 2022
12022
On Distributed Adaptive Optimization with Gradient Compression
X Li, B Karimi, P Li
International Conference on Learning Representations (ICLR), 2022, 2022
12022
Convergent adaptive gradient methods in decentralized optimization
X Chen, B Karimi, W Zhao, P Li
12020
Efficient Metropolis-Hastings sampling for nonlinear mixed effects models
B Karimi, M Lavielle
International Conference on Bayesian Statistics in Action (BAYSM 2018), 85-93, 2018
12018
Non linear Mixed Effects Models: Bridging the gap between Independent Metropolis Hastings and Variational Inference
B Karimi, M Lavielle, E Moulines
Implicit Models Workshop (ICML 2017), 2017
12017
Variational Flow Graphical Model
S Ren, B Karimi, D Li, P Li
The 28th Conference on Knowledge Discovery and Data Mining (KDD), ACM 2022, 2022
2022
A Class of Two-Timescale Stochastic EM Algorithms for Nonconvex Latent Variable Models
B Karimi, P Li
arXiv preprint arXiv:2203.10186, 2022
2022
Two-Timescale Stochastic EM Algorithms
B Karimi, P Li
IEEE International Symposium on Information Theory (ISIT), 2021, 2021
2021
Fed-LAMB: Layerwise and Dimensionwise Locally Adaptive Optimization Algorithm
B Karimi, X Li, P Li
arXiv preprint arXiv:2110.00532, 2021
2021
HWA: Hyperparameters Weight Averaging in Bayesian Neural Networks
B Karimi, P Li
3rd Symposium on Advances in Approximate Bayesian Inference (AABI), 2021, 2021
2021
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Articles 1–20