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Hadrien Hendrikx
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2020 – today
- 2024
- [j3]Daniel Morales-Brotons, Thijs Vogels, Hadrien Hendrikx:
Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits. Trans. Mach. Learn. Res. 2024 (2024) - [c13]Hadrien Hendrikx, Paul Mangold, Aurélien Bellet:
The Relative Gaussian Mechanism and its Application to Private Gradient Descent. AISTATS 2024: 3079-3087 - [i17]Renaud Gaucher, Hadrien Hendrikx, Aymeric Dieuleveut:
Byzantine-Robust Gossip: Insights from a Dual Approach. CoRR abs/2405.03449 (2024) - 2023
- [j2]Thijs Vogels, Hadrien Hendrikx, Martin Jaggi:
Beyond Spectral Gap: The Role of the Topology in Decentralized Learning. J. Mach. Learn. Res. 24: 355:1-355:31 (2023) - [c12]Hadrien Hendrikx:
A principled framework for the design and analysis of token algorithms. AISTATS 2023: 470-489 - [c11]Anastasia Koloskova, Hadrien Hendrikx, Sebastian U. Stich:
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees. ICML 2023: 17343-17363 - [i16]Thijs Vogels, Hadrien Hendrikx, Martin Jaggi:
Beyond spectral gap (extended): The role of the topology in decentralized learning. CoRR abs/2301.02151 (2023) - [i15]Anastasia Koloskova, Hadrien Hendrikx, Sebastian U. Stich:
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees. CoRR abs/2305.01588 (2023) - [i14]Hadrien Hendrikx, Paul Mangold, Aurélien Bellet:
The Relative Gaussian Mechanism and its Application to Private Gradient Descent. CoRR abs/2308.15250 (2023) - 2022
- [c10]Thijs Vogels, Hadrien Hendrikx, Martin Jaggi:
Beyond spectral gap: the role of the topology in decentralized learning. NeurIPS 2022 - [i13]Hadrien Hendrikx:
A principled framework for the design and analysis of token algorithms. CoRR abs/2205.15015 (2022) - [i12]Thijs Vogels, Hadrien Hendrikx, Martin Jaggi:
Beyond spectral gap: The role of the topology in decentralized learning. CoRR abs/2206.03093 (2022) - 2021
- [b1]Hadrien Hendrikx:
Accelerated Methods for Distributed Optimization. (Méthodes Accélérées pour l'Optimisation Distribuée). Paris Sciences et Lettres University, France, 2021 - [j1]Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié:
An Optimal Algorithm for Decentralized Finite-Sum Optimization. SIAM J. Optim. 31(4): 2753-2783 (2021) - [c9]Radu-Alexandru Dragomir, Mathieu Even, Hadrien Hendrikx:
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction. ICML 2021: 2815-2825 - [c8]Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Hadrien Hendrikx, Pierre Gaillard, Laurent Massoulié, Adrien B. Taylor:
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms. NeurIPS 2021: 28054-28066 - [i11]Mathieu Even, Hadrien Hendrikx, Laurent Massoulié:
Decentralized Optimization with Heterogeneous Delays: a Continuous-Time Approach. CoRR abs/2106.03585 (2021) - [i10]Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Pierre Gaillard, Hadrien Hendrikx, Laurent Massoulié, Adrien B. Taylor:
A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip. CoRR abs/2106.07644 (2021) - 2020
- [c7]Hadrien Hendrikx, Lin Xiao, Sébastien Bubeck, Francis R. Bach, Laurent Massoulié:
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization. ICML 2020: 4203-4227 - [c6]Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié:
Dual-Free Stochastic Decentralized Optimization with Variance Reduction. NeurIPS 2020 - [c5]Aurélien Bellet, Rachid Guerraoui
, Hadrien Hendrikx:
Who Started This Rumor? Quantifying the Natural Differential Privacy of Gossip Protocols. DISC 2020: 8:1-8:18 - [i9]Hadrien Hendrikx, Lin Xiao, Sébastien Bubeck, Francis R. Bach, Laurent Massoulié:
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization. CoRR abs/2002.10726 (2020) - [i8]Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié:
An Optimal Algorithm for Decentralized Finite Sum Optimization. CoRR abs/2005.10675 (2020) - [i7]Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié:
Dual-Free Stochastic Decentralized Optimization with Variance Reduction. CoRR abs/2006.14384 (2020) - [i6]Mathieu Even, Hadrien Hendrikx, Laurent Massoulié:
Asynchrony and Acceleration in Gossip Algorithms. CoRR abs/2011.02379 (2020)
2010 – 2019
- 2019
- [c4]Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié:
Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives. AISTATS 2019: 897-906 - [c3]Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié:
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums. NeurIPS 2019: 952-962 - [i5]Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié:
Asynchronous Accelerated Proximal Stochastic Gradient for Strongly Convex Distributed Finite Sums. CoRR abs/1901.09865 (2019) - [i4]Aurélien Bellet, Rachid Guerraoui, Hadrien Hendrikx:
Who started this rumor? Quantifying the natural differential privacy guarantees of gossip protocols. CoRR abs/1902.07138 (2019) - [i3]Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié:
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums. CoRR abs/1905.11394 (2019) - 2018
- [i2]Hadrien Hendrikx, Laurent Massoulié, Francis R. Bach:
Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives. CoRR abs/1810.02660 (2018) - 2017
- [c2]El Mahdi El Mhamdi, Rachid Guerraoui
Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning. NIPS 2017: 130-140 - [i1]El Mahdi El Mhamdi, Rachid Guerraoui, Hadrien Hendrikx, Alexandre Maurer:
Can AIs learn to avoid human interruption? CoRR abs/1704.02882 (2017) - 2016
- [c1]Hadrien Hendrikx, Miguel Núñez del Prado Cortez
Toward a route detection method base on detail call records. LA-CCI 2016: 1-6
Coauthor Index
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last updated on 2024-09-14 01:12 CEST by the dblp team
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