| Maximum mean discrepancy gradient flow M Arbel, A Korba, A Salim, A Gretton Advances in Neural Information Processing Systems 32, 2019 | 53 | 2019 |
| 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 | 33 | 2020 |
| 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 | 26 | 2020 |
| A constant step Forward-Backward algorithm involving random maximal monotone operators P Bianchi, W Hachem, A Salim arXiv preprint arXiv:1702.04144, 2017 | 23 | 2017 |
| 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 | 19 | 2019 |
| 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 | 13 | 2019 |
| Dualize, split, randomize: Fast nonsmooth optimization algorithms A Salim, L Condat, K Mishchenko, P Richtárik arXiv preprint arXiv:2004.02635, 2020 | 12 | 2020 |
| Primal dual interpretation of the proximal stochastic gradient Langevin algorithm A Salim, P Richtárik Advances in Neural Information Processing Systems 33, 3786-3796, 2020 | 11 | 2020 |
| The wasserstein proximal gradient algorithm A Salim, A Korba, G Luise Advances in Neural Information Processing Systems 33, 12356-12366, 2020 | 11 | 2020 |
| 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 | 11 | 2019 |
| Stochastic proximal langevin algorithm: Potential splitting and nonasymptotic rates A Salim, D Kovalev, P Richtárik Advances in Neural Information Processing Systems 32, 2019 | 11 | 2019 |
| 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 | 7 | 2022 |
| 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 | 7 | 2016 |
| 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 | 3 | 2022 |
| A fully stochastic primal-dual algorithm P Bianchi, W Hachem, A Salim Optimization Letters 15 (2), 701-710, 2021 | 3 | 2021 |
| Passty Langevin P Bianchi, A Salim, S Schechtman Conference on Machine Learning (CAp), 2019 | 3 | 2019 |
| Random monotone operators and application to stochastic optimization A Salim Université Paris-Saclay (ComUE), 2018 | 3 | 2018 |
| Asymptotics of constant step stochastic approximations involving differential inclusions P Bianchi, W Hachem, A Salim arXiv preprint arXiv:1612.03831, 2016 | 3 | 2016 |
| A novel decentralized group key management using attribute based encryption R Thomas, A Salim 2014 First International Conference on Computational Systems and …, 2014 | 3 | 2014 |
| Improved analysis for a proximal algorithm for sampling Y Chen, S Chewi, A Salim, A Wibisono arXiv preprint arXiv:2202.06386, 2022 | 2 | 2022 |
Pascal BianchiTélécom ParisTechVerified email at telecom-paristech.fr
