| An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums H Hendrikx, F Bach, L Massoulie Advances in Neural Information Processing Systems 32, 952--962, 2019 | 76* | 2019 |
| Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization H Hendrikx, L Xiao, S Bubeck, F Bach, L Massoulie ICML 2020, 2020 | 68 | 2020 |
| Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees A Koloskova, H Hendrikx, SU Stich ICML 2023, 2023 | 53 | 2023 |
| Accelerated decentralized optimization with local updates for smooth and strongly convex objectives H Hendrikx, L Massoulié, F Bach AISTATS 2019 - International Conference on Artificial Intelligence and …, 2018 | 51 | 2018 |
| An optimal algorithm for decentralized finite-sum optimization H Hendrikx, F Bach, L Massoulie SIAM Journal on Optimization 31 (4), 2753-2783, 2021 | 47 | 2021 |
| Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction RA Dragomir, M Even, H Hendrikx ICML 2021, 2021 | 44 | 2021 |
| 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 34, 28054-28066, 2021 | 41* | 2021 |
| Dual-Free Stochastic Decentralized Optimization with Variance Reduction H Hendrikx, F Bach, L Massoulié Advances in Neural Information Processing Systems, 2020, 2020 | 35 | 2020 |
| Beyond spectral gap: The role of the topology in decentralized learning T Vogels, H Hendrikx, M Jaggi Advances in Neural Information Processing Systems, 2022, 2022 | 33 | 2022 |
| Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning EME Mhamdi, R Guerraoui, H Hendrikx, A Maurer Advances in Neural Information Processing Systems, 129-139, 2017 | 31 | 2017 |
| Exponential moving average of weights in deep learning: Dynamics and benefits D Morales-Brotons, T Vogels, H Hendrikx arXiv preprint arXiv:2411.18704, 2024 | 28 | 2024 |
| Asynchronous speedup in decentralized optimization M Even, H Hendrikx, L Massoulié arXiv preprint arXiv:2106.03585, 2021 | 24* | 2021 |
| Who started this rumor? Quantifying the natural differential privacy of gossip protocols A Bellet, R Guerraoui, H Hendrikx Proceedings of the 34th International Symposium on Distributed Computing …, 2020 | 21* | 2020 |
| A principled framework for the design and analysis of token algorithms H Hendrikx AISTATS 2023 - International Conference on Artificial Intelligence and …, 2022 | 14 | 2022 |
| Beyond spectral gap: the role of the topology in decentralized learning T Vogels, H Hendrikx, M Jaggi Journal of Machine Learning Research 24 (355), 1-31, 2023 | 4* | 2023 |
| The Relative Gaussian Mechanism and its Application to Private Gradient Descent H Hendrikx, P Mangold, A Bellet International Conference on Artificial Intelligence and Statistics, 3079-3087, 2024 | 2 | 2024 |
| Accelerated methods for distributed optimization H Hendrikx Université Paris sciences et lettres, 2021 | 2 | 2021 |
| Investigating Variance Definitions for Mirror Descent with Relative Smoothness H Hendrikx arXiv preprint arXiv:2404.12213, 2024 | 1 | 2024 |
| Toward a route detection method base on detail call records MN del Prado, H Hendrikx Universidad del Pacífico. Centro de Investigación, 2016 | 1 | 2016 |
| Achieving Optimal Breakdown for Byzantine Robust Gossip R Gaucher, A Dieuleveut, H Hendrikx arXiv preprint arXiv:2410.10418, 2024 | | 2024 |
Laurent MassoulieInria, MSR-Inria Joint Centre確認したメール アドレス: inria.fr