Suivre
Hadrien Hendrikx
Hadrien Hendrikx
INRIA Grenoble - LJK - UGA
Adresse e-mail validée de inria.fr - Page d'accueil
Titre
Citée par
Citée par
Année
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
77*2019
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization
H Hendrikx, L Xiao, S Bubeck, F Bach, L Massoulie
ICML 2020, 2020
602020
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
482018
An optimal algorithm for decentralized finite-sum optimization
H Hendrikx, F Bach, L Massoulie
SIAM Journal on Optimization 31 (4), 2753-2783, 2021
452021
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction
RA Dragomir, M Even, H Hendrikx
ICML 2021, 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 34, 28054-28066, 2021
33*2021
Dual-Free Stochastic Decentralized Optimization with Variance Reduction
H Hendrikx, F Bach, L Massoulié
Advances in Neural Information Processing Systems, 2020, 2020
312020
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
312017
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
272022
Asynchronous speedup in decentralized optimization
M Even, H Hendrikx, L Massoulié
arXiv preprint arXiv:2106.03585, 2021
21*2021
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
A Koloskova, H Hendrikx, SU Stich
ICML 2023, 2023
202023
Who started this rumor? Quantifying the natural differential privacy of gossip protocols
A Bellet, R Guerraoui, H Hendrikx
34th International Symposium on Distributed Computing (DISC 2020), 2020
18*2020
A principled framework for the design and analysis of token algorithms
H Hendrikx
AISTATS 2023 - International Conference on Artificial Intelligence and …, 2022
92022
Exponential moving average of weights in deep learning: Dynamics and benefits
D Morales-Brotons, T Vogels, H Hendrikx
Transactions on Machine Learning Research, 2024
52024
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
3*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
22024
Accelerated methods for distributed optimization
H Hendrikx
Université Paris sciences et lettres, 2021
22021
Toward a route detection method base on detail call records
M Núñez del Prado, H Hendrikx
Universidad del Pacífico. Centro de Investigación, 2016
12016
Byzantine-Robust Gossip: Insights from a Dual Approach
R Gaucher, H Hendrikx, A Dieuleveut
arXiv preprint arXiv:2405.03449, 2024
2024
Investigating Variance Definitions for Mirror Descent with Relative Smoothness
H Hendrikx
arXiv preprint arXiv:2404.12213, 2024
2024
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20