| Asynchronous sgd beats minibatch sgd under arbitrary delays K Mishchenko, F Bach, M Even, B Woodworth Advances in Neural Information Processing Systems (2022), 2022 | 64 | 2022 |
| (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 (2023), 2023 | 47 | 2023 |
| 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 (2021), 2021 | 45* | 2021 |
| Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction RA Dragomir, M Even, H Hendrikx ICML 2021, 2815-2825, 2021 | 44 | 2021 |
| Stochastic Gradient Descent under Markovian Sampling Schemes M Even International Conference on Machine Learning, 2023, 2023 | 36 | 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 | 28 | 2022 |
| On sample optimality in personalized collaborative and federated learning M Even, L Massoulié, K Scaman Advances in Neural Information Processing Systems 36 (2022), 2022 | 20* | 2022 |
| Asynchronous speedup in decentralized optimization M Even, H Hendrikx, L Massoulié IEEE Transactions on Automatic Control, 2024 | 16* | 2024 |
| 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 | 16 | 2021 |
| Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization M Even, A Koloskova, L Massoulié International Conference on Artificial Intelligence and Statistics, 3709-3717, 2023 | 14 | 2023 |
| Asynchrony and acceleration in gossip algorithms M Even, H Hendrikx, L Massoulié arXiv preprint arXiv:2011.02379, 2020 | 10 | 2020 |
| Noiseless privacy-preserving decentralized learning S Biswas, M Even, AM Kermarrec, L Massoulié, R Pires, R Sharma, ... arXiv preprint arXiv:2404.09536, 2024 | 4* | 2024 |
| Minimax excess risk of first-order methods for statistical learning with data-dependent oracles K Scaman, M Even, B Le Bars, L Massoulié International Conference on Artificial Intelligence and Statistics, 3709-3717, 2024 | 2 | 2024 |
| Towards Decentralization, Asynchrony, Privacy and Personalization in Federated Learning M Even ENS Paris-Ecole Normale Supérieure de Paris, 2024 | 1 | 2024 |
| Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem M Even, L Ganassali, J Maier, L Massoulié Advances in Neural Information Processing Systems (2024), 2024 | 1 | 2024 |
| Meta-learning of shared linear representations beyond well-specified linear regression M Even, L MassouliÊ arXiv preprint arXiv:2501.18975, 2025 | | 2025 |
| Rethinking the Win Ratio: A Causal Framework for Hierarchical Outcome Analysis M Even, J Josse arXiv preprint arXiv:2501.16933, 2025 | | 2025 |
| Long-Context Linear System Identification OK Yüksel, M Even, N Flammarion ICLR 2025, 2024 | | 2024 |
| Generalization Error of First-Order Methods for Statistical Learning with Generic Oracles. K Scaman, M Even, L Massoulié CoRR, 2023 | | 2023 |
Laurent MassoulieInria, MSR-Inria Joint Centre確認したメール アドレス: inria.fr