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Mathieu Even
Mathieu Even
Ecole Normale Supérieure, Inria
Verified email at ens.fr - Homepage
Title
Cited by
Cited by
Year
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
432022
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction
RA Dragomir, M Even, H Hendrikx
ICML 2021, 2815-2825, 2021
372021
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
35*2021
(S) GD over Diagonal Linear Networks: Implicit Regularisation, Large Stepsizes and Edge of Stability
M Even, S Pesme, S Gunasekar, N Flammarion
arXiv preprint arXiv:2302.08982, 2023
32*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
192022
Stochastic Gradient Descent under Markovian Sampling Schemes
M Even
International Conference on Machine Learning, 2023, 2023
152023
On sample optimality in personalized collaborative and federated learning
M Even, L Massoulié, K Scaman
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
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
112021
Asynchrony and acceleration in gossip algorithms
M Even, H Hendrikx, L Massoulié
arXiv preprint arXiv:2011.02379, 2020
82020
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
52023
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
22024
Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem
M Even, L Ganassali, J Maier, L Massoulié
arXiv preprint arXiv:2405.14532, 2024
2024
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
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