Παρακολούθηση
Hadrien Hendrikx
Hadrien Hendrikx
INRIA Grenoble - LJK - UGA
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα inria.fr - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
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
79*2019
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization
H Hendrikx, L Xiao, S Bubeck, F Bach, L Massoulie
ICML 2020, 2020
672020
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
502018
An optimal algorithm for decentralized finite-sum optimization
H Hendrikx, F Bach, L Massoulie
SIAM Journal on Optimization 31 (4), 2753-2783, 2021
472021
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction
RA Dragomir, M Even, H Hendrikx
ICML 2021, 2021
432021
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
A Koloskova, H Hendrikx, SU Stich
ICML 2023, 2023
412023
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
362020
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
312022
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
Asynchronous speedup in decentralized optimization
M Even, H Hendrikx, L Massoulié
arXiv preprint arXiv:2106.03585, 2021
25*2021
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
20*2020
Exponential moving average of weights in deep learning: Dynamics and benefits
D Morales-Brotons, T Vogels, H Hendrikx
Transactions on Machine Learning Research, 2024
162024
A principled framework for the design and analysis of token algorithms
H Hendrikx
AISTATS 2023 - International Conference on Artificial Intelligence and …, 2022
132022
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
Investigating Variance Definitions for Mirror Descent with Relative Smoothness
H Hendrikx
arXiv preprint arXiv:2404.12213, 2024
12024
Toward a route detection method base on detail call records
M Núñez del Prado, H Hendrikx
Universidad del Pacífico. Centro de Investigación, 2016
12016
Achieving Optimal Breakdown for Byzantine Robust Gossip
R Gaucher, A Dieuleveut, H Hendrikx
arXiv preprint arXiv:2410.10418, 2024
2024
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