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Mathieu Even
Mathieu Even
Ecole Normale Supérieure, Inria
Adresse e-mail validée de ens.fr - Page d'accueil
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Asynchronous sgd beats minibatch sgd under arbitrary delays
K Mishchenko, F Bach, M Even, B Woodworth
Advances in Neural Information Processing Systems (2022), 2022
642022
(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
472023
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
442021
Stochastic Gradient Descent under Markovian Sampling Schemes
M Even
International Conference on Machine Learning, 2023, 2023
362023
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
282022
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
162021
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
142023
Asynchrony and acceleration in gossip algorithms
M Even, H Hendrikx, L Massoulié
arXiv preprint arXiv:2011.02379, 2020
102020
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
22024
Towards Decentralization, Asynchrony, Privacy and Personalization in Federated Learning
M Even
ENS Paris-Ecole Normale Supérieure de Paris, 2024
12024
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
12024
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
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