עקוב אחר
Belhal Karimi
Belhal Karimi
Baidu Research USA, CCL
כתובת אימייל מאומתת בדומיין polytechnique.edu - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
Non-asymptotic Analysis of Biased Stochastic Approximation Scheme‏
B Karimi, B Miasojedow, É Moulines, HT Wai‏
32nd Conference on Learning Theory (COLT), 2019, 2019‏
1182019
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
422019
Fedsketch: Communication-efficient and private federated learning via sketching‏
F Haddadpour, B Karimi, P Li, X Li‏
arXiv preprint arXiv:2008.04975, 2020‏
282020
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
252022
On Distributed Adaptive Optimization with Gradient Compression‏
X Li, B Karimi, P Li‏
International Conference on Learning Representations (ICLR), 2022, 2022‏
252022
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, 810--821, 2020‏
232020
On the convergence of decentralized adaptive gradient methods‏
X Chen, B Karimi, W Zhao, P Li‏
14th Asian Conference on Machine Learning (ACML), 2022, 217-232, 2023‏
212023
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
82020
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
62021
On the Convergence Properties of the Mini-Batch EM and MCEM Algorithms‏
B Karimi, M Lavielle, É Moulines‏
HAL preprint hal: 02334485, 2019‏
62019
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
42022
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
42022
Layerwise and dimensionwise locally adaptive optimization algorithm‏
B Karimi, X Li, PL Fed-lamb‏
arXiv preprint arXiv:2110.00532, 2021‏
42021
Layer-wise and dimension-wise locally adaptive federated learning‏
B Karimi, P Li, X Li‏
arXiv preprint arXiv:2110.00532, 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
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
32018
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems‏
W Zhao, X Jiao, X Luo, J Li, B Karimi, P Li‏
IEEE International Conference on Big Data (IEEE BigData), 2022, 2022‏
22022
Fed-LAMB: layer-wise and dimension-wise locally adaptive federated learning‏
B Karimi, P Li, X Li‏
39th Conference on Uncertainty in Artificial Intelligence (UAI 2023), 1037-1046, 2023‏
12023
Two-Timescale Stochastic EM Algorithms‏
B Karimi, P Li‏
IEEE International Symposium on Information Theory (ISIT), 2021, 2021‏
12021
Fed-LAMB: Layerwise and dimensionwise locally adaptive optimization algorithm‏
B Karimi, X Li, P Li‏
arXiv preprint arXiv:2110.00532, 2021‏
12021
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מאמרים 1–20