| Maximum mean discrepancy gradient flow M Arbel, A Korba, A Salim, A Gretton arXiv preprint arXiv:1906.04370, 2019 | 25 | 2019 |
| A constant step Forward-Backward algorithm involving random maximal monotone operators P Bianchi, W Hachem, A Salim arXiv preprint arXiv:1702.04144, 2017 | 18 | 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 | 13 | 2019 |
| Stochastic proximal langevin algorithm: Potential splitting and nonasymptotic rates A Salim, D Kovalev, P Richtárik arXiv preprint arXiv:1905.11768, 2019 | 9 | 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 | 8 | 2019 |
| 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 | 6 | 2016 |
| Optimal and practical algorithms for smooth and strongly convex decentralized optimization D Kovalev, A Salim, P Richtárik Advances in Neural Information Processing Systems 33, 2020 | 5 | 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, 2020 | 4 | 2020 |
| Dualize, split, randomize: Fast nonsmooth optimization algorithms A Salim, L Condat, K Mishchenko, P Richtárik arXiv preprint arXiv:2004.02635, 2020 | 3 | 2020 |
| Distributed fixed point methods with compressed iterates S Chraibi, A Khaled, D Kovalev, P Richtárik, A Salim, M Takáè arXiv preprint arXiv:1912.09925, 2019 | 3 | 2019 |
| Passty Langevin P Bianchi, A Salim, S Schechtman Proceedings of the Conference on Machine Learning, Toulouse, France, 2019 | 3 | 2019 |
| 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 |
| Wasserstein proximal gradient A Salim, A Korba, G Luise arXiv preprint arXiv:2002.03035, 2020 | 2 | 2020 |
| Random monotone operators and application to stochastic optimization A Salim Université Paris-Saclay (ComUE), 2018 | 2 | 2018 |
| Asymptotics of constant step stochastic approximations involving differential inclusions P Bianchi, W Hachem, A Salim arXiv preprint arXiv:1612.03831, 2016 | 2 | 2016 |
| A fully stochastic primal-dual algorithm P Bianchi, W Hachem, A Salim Optimization Letters, 1-10, 2020 | 1 | 2020 |
| A Constant Step Stochastic Douglas-Rachford Algorithm with Application to Non Separable Regularizations A Salim, P Bianchi, W Hachem 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 1 | 2018 |
| Convergence d'un algorithme du gradient proximal stochastique à pas constant et généralisation aux opérateurs monotones aléatoires A Salim, P Bianchi, W Hachem GRETSI, 2017 | 1 | 2017 |
| Building Stochastic Optimization Algorithms with Random Monotone Operators P Bianchi, W Hachem, A Salim Eucco, 2016 | 1 | 2016 |
| An Optimal Algorithm for Strongly Convex Minimization under Affine Constraints A Salim, L Condat, D Kovalev, P Richtárik arXiv preprint arXiv:2102.11079, 2021 | | 2021 |
Pascal BianchiTélécom ParisTechVerified email at telecom-paristech.fr
