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Adil Salim
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Maximum mean discrepancy gradient flow
M Arbel, A Korba, A Salim, A Gretton
Advances in Neural Information Processing Systems 32, 2019
532019
Optimal and practical algorithms for smooth and strongly convex decentralized optimization
D Kovalev, A Salim, P Richtárik
Advances in Neural Information Processing Systems 33, 18342-18352, 2020
332020
A non-asymptotic analysis for Stein variational gradient descent
A Korba, A Salim, M Arbel, G Luise, A Gretton
Advances in Neural Information Processing Systems 33, 4672-4682, 2020
262020
A constant step Forward-Backward algorithm involving random maximal monotone operators
P Bianchi, W Hachem, A Salim
arXiv preprint arXiv:1702.04144, 2017
232017
Snake: a stochastic proximal gradient algorithm for regularized problems over large graphs
A Salim, P Bianchi, W Hachem
IEEE Transactions on Automatic Control 64 (5), 1832-1847, 2019
192019
Constant step stochastic approximations involving differential inclusions: stability, long-run convergence and applications
P Bianchi, W Hachem, A Salim
Stochastics 91 (2), 288-320, 2019
132019
Dualize, split, randomize: Fast nonsmooth optimization algorithms
A Salim, L Condat, K Mishchenko, P Richtárik
arXiv preprint arXiv:2004.02635, 2020
122020
Primal dual interpretation of the proximal stochastic gradient Langevin algorithm
A Salim, P Richtárik
Advances in Neural Information Processing Systems 33, 3786-3796, 2020
112020
The wasserstein proximal gradient algorithm
A Salim, A Korba, G Luise
Advances in Neural Information Processing Systems 33, 12356-12366, 2020
112020
Distributed fixed point methods with compressed iterates
S Chraibi, A Khaled, D Kovalev, P Richtárik, A Salim, M Takáč
arXiv preprint arXiv:1912.09925, 2019
112019
Stochastic proximal langevin algorithm: Potential splitting and nonasymptotic rates
A Salim, D Kovalev, P Richtárik
Advances in Neural Information Processing Systems 32, 2019
112019
An optimal algorithm for strongly convex minimization under affine constraints
A Salim, L Condat, D Kovalev, P Richtárik
International Conference on Artificial Intelligence and Statistics, 4482-4498, 2022
72022
A stochastic proximal point algorithm for total variation regularization over large scale graphs
A Salim, P Bianchi, W Hachem, J Jakubowicz
2016 IEEE 55th Conference on Decision and Control (CDC), 4490-4495, 2016
72016
Towards a theory of non-log-concave sampling: first-order stationarity guarantees for Langevin Monte Carlo
K Balasubramanian, S Chewi, MA Erdogdu, A Salim, M Zhang
arXiv preprint arXiv:2202.05214, 2022
32022
A fully stochastic primal-dual algorithm
P Bianchi, W Hachem, A Salim
Optimization Letters 15 (2), 701-710, 2021
32021
Passty Langevin
P Bianchi, A Salim, S Schechtman
Conference on Machine Learning (CAp), 2019
32019
Random monotone operators and application to stochastic optimization
A Salim
Université Paris-Saclay (ComUE), 2018
32018
Asymptotics of constant step stochastic approximations involving differential inclusions
P Bianchi, W Hachem, A Salim
arXiv preprint arXiv:1612.03831, 2016
32016
A novel decentralized group key management using attribute based encryption
R Thomas, A Salim
2014 First International Conference on Computational Systems and …, 2014
32014
Improved analysis for a proximal algorithm for sampling
Y Chen, S Chewi, A Salim, A Wibisono
arXiv preprint arXiv:2202.06386, 2022
22022
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Articles 1–20