| Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction RA Dragomir, M Even, H Hendrikx ICML 2021, 2815-2825, 2021 | 36 | 2021 |
| Asynchronous sgd beats minibatch sgd under arbitrary delays K Mishchenko, F Bach, M Even, B Woodworth Advances in Neural Information Processing Systems 36 (2022), 2022 | 32 | 2022 |
| Continuized accelerations of deterministic and stochastic gradient descents, and of gossip algorithms M Even, R Berthier, F Bach, N Flammarion, H Hendrikx, P Gaillard, ... Advances in Neural Information Processing Systems 35, 28054-28066, 2021 | 32* | 2021 |
| (S) GD over Diagonal Linear Networks: Implicit Regularisation, Large Stepsizes and Edge of Stability M Even, S Pesme, S Gunasekar, N Flammarion Advances in Neural Information Processing Systems 37 (2023), 2023 | 19 | 2023 |
| Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging E Cyffers, M Even, A Bellet, L Massoulié Advances in Neural Information Processing Systems 36 (2022), 2022 | 14 | 2022 |
| Asynchronous speedup in decentralized optimization M Even, H Hendrikx, L Massoulié arXiv preprint arXiv:2106.03585, 2021 | 14* | 2021 |
| Stochastic Gradient Descent under Markovian Sampling Schemes M Even International Conference on Machine Learning, 2023, 2023 | 13 | 2023 |
| On sample optimality in personalized collaborative and federated learning M Even, L Massoulié, K Scaman Advances in Neural Information Processing Systems 36 (2022), 2022 | 13* | 2022 |
| Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization M Even, L Massoulié Conference on Learning Theory 2021, 1847-1886, 2021 | 11 | 2021 |
| Asynchrony and acceleration in gossip algorithms M Even, H Hendrikx, L Massoulié arXiv preprint arXiv:2011.02379, 2020 | 9 | 2020 |
| (S) GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability M Even, S Pesme, S Gunasekar, N Flammarion Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization M Even, A Koloskova, L Massoulié AISTATS 2024, 2023 | 2 | 2023 |
| Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes S Biswas, M Even, AM Kermarrec, L Massoulie, R Pires, R Sharma, ... arXiv preprint arXiv:2404.09536, 2024 | | 2024 |
| Generalization Error of First-Order Methods for Statistical Learning with Generic Oracles K Scaman, M Even, L Massoulié arXiv preprint arXiv:2307.04679, 2023 | | 2023 |
| Inria-ENS Paris 2 Ecole Polytechnique Fédérale de Lausanne (EPFL) 3 Microsoft Research Equal contributions M Even, S Pesme, S Gunasekar, N Flammarion | | |
Laurent MassoulieInria, MSR-Inria Joint CentreVerified email at inria.fr
