Hadrien Hendrikx

According to our database, Hadrien Hendrikx authored at least 22 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

The Relative Gaussian Mechanism and its Application to Private Gradient Descent.

Hadrien Hendrikx, Paul Mangold, Aurélien Bellet

CoRR, 2023

Beyond spectral gap (extended): The role of the topology in decentralized learning.

Thijs Vogels, Hadrien Hendrikx, Martin Jaggi

CoRR, 2023

Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees.

Anastasia Koloskova, Hadrien Hendrikx, Sebastian U. Stich

Proceedings of the International Conference on Machine Learning, 2023

A principled framework for the design and analysis of token algorithms.

Hadrien Hendrikx

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Beyond spectral gap: the role of the topology in decentralized learning.

Thijs Vogels, Hadrien Hendrikx, Martin Jaggi

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Accelerated Methods for Distributed Optimization. (Méthodes Accélérées pour l'Optimisation Distribuée).

Hadrien Hendrikx

PhD thesis, 2021

An Optimal Algorithm for Decentralized Finite-Sum Optimization.

Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié

SIAM J. Optim., 2021

A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip.

Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Pierre Gaillard, Hadrien Hendrikx, Laurent Massoulié, Adrien B. Taylor

CoRR, 2021

Decentralized Optimization with Heterogeneous Delays: a Continuous-Time Approach.

Mathieu Even, Hadrien Hendrikx, Laurent Massoulié

CoRR, 2021

Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms.

Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Hadrien Hendrikx, Pierre Gaillard, Laurent Massoulié, Adrien B. Taylor

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction.

Radu-Alexandru Dragomir, Mathieu Even, Hadrien Hendrikx

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Asynchrony and Acceleration in Gossip Algorithms.

Mathieu Even, Hadrien Hendrikx, Laurent Massoulié

CoRR, 2020

Who Started This Rumor? Quantifying the Natural Differential Privacy of Gossip Protocols.

Aurélien Bellet, Rachid Guerraoui, Hadrien Hendrikx

Proceedings of the 34th International Symposium on Distributed Computing, 2020

Dual-Free Stochastic Decentralized Optimization with Variance Reduction.

Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization.

Hadrien Hendrikx, Lin Xiao, Sébastien Bubeck, Francis R. Bach, Laurent Massoulié

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Who started this rumor? Quantifying the natural differential privacy guarantees of gossip protocols.

Aurélien Bellet, Rachid Guerraoui, Hadrien Hendrikx

CoRR, 2019

Asynchronous Accelerated Proximal Stochastic Gradient for Strongly Convex Distributed Finite Sums.

Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié

CoRR, 2019

An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums.

Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives.

Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2017

Can AIs learn to avoid human interruption?

El Mahdi El Mhamdi, Rachid Guerraoui, Hadrien Hendrikx, Alexandre Maurer

CoRR, 2017

Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning.

El Mahdi El Mhamdi, Rachid Guerraoui, Hadrien Hendrikx, Alexandre Maurer

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Toward a route detection method base on detail call records.

Hadrien Hendrikx, Miguel Núñez del Prado Cortez

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016