Hadrien Hendrikx

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 32

Top Topics

Stochastic Gradient

Top Venues

Publications

Daniel Morales-Brotons, Thijs Vogels, Hadrien Hendrikx
Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits. Trans. Mach. Learn. Res. 2024 (2024)
Renaud Gaucher, Hadrien Hendrikx, Aymeric Dieuleveut
Byzantine-Robust Gossip: Insights from a Dual Approach. CoRR (2024)
Hadrien Hendrikx, Paul Mangold, Aurélien Bellet
The Relative Gaussian Mechanism and its Application to Private Gradient Descent. AISTATS (2024)
Hadrien Hendrikx
A principled framework for the design and analysis of token algorithms. AISTATS (2023)
Thijs Vogels, Hadrien Hendrikx, Martin Jaggi
Beyond spectral gap (extended): The role of the topology in decentralized learning. CoRR (2023)
Anastasia Koloskova, Hadrien Hendrikx, Sebastian U. Stich
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees. CoRR (2023)
Anastasia Koloskova, Hadrien Hendrikx, Sebastian U. Stich
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees. ICML (2023)
Hadrien Hendrikx, Paul Mangold, Aurélien Bellet
The Relative Gaussian Mechanism and its Application to Private Gradient Descent. CoRR (2023)
Thijs Vogels, Hadrien Hendrikx, Martin Jaggi
Beyond spectral gap: The role of the topology in decentralized learning. CoRR (2022)
Hadrien Hendrikx
A principled framework for the design and analysis of token algorithms. CoRR (2022)
Thijs Vogels, Hadrien Hendrikx, Martin Jaggi
Beyond spectral gap: the role of the topology in decentralized learning. NeurIPS (2022)
Mathieu Even, Hadrien Hendrikx, Laurent Massoulié
Decentralized Optimization with Heterogeneous Delays: a Continuous-Time Approach. CoRR (2021)
Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
An Optimal Algorithm for Decentralized Finite-Sum Optimization. SIAM J. Optim. 31 (4) (2021)
Radu-Alexandru Dragomir, Mathieu Even, Hadrien Hendrikx
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction. ICML (2021)
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)
Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Pierre Gaillard, Hadrien Hendrikx, Laurent Massoulié, Adrien Taylor
A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip. CoRR (2021)
Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
Dual-Free Stochastic Decentralized Optimization with Variance Reduction. CoRR (2020)
Mathieu Even, Hadrien Hendrikx, Laurent Massoulié
Asynchrony and Acceleration in Gossip Algorithms. CoRR (2020)
Hadrien Hendrikx, Lin Xiao, Sébastien Bubeck, Francis R. Bach, Laurent Massoulié
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization. ICML (2020)
Hadrien Hendrikx, Lin Xiao, Sébastien Bubeck, Francis R. Bach, Laurent Massoulié
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization. CoRR (2020)
Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
An Optimal Algorithm for Decentralized Finite Sum Optimization. CoRR (2020)
Aurélien Bellet, Rachid Guerraoui, Hadrien Hendrikx
Who Started This Rumor? Quantifying the Natural Differential Privacy of Gossip Protocols. DISC (2020)
Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
Dual-Free Stochastic Decentralized Optimization with Variance Reduction. NeurIPS (2020)
Aurélien Bellet, Rachid Guerraoui, Hadrien Hendrikx
Who started this rumor? Quantifying the natural differential privacy guarantees of gossip protocols. CoRR (2019)
Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
Asynchronous Accelerated Proximal Stochastic Gradient for Strongly Convex Distributed Finite Sums. CoRR (2019)
Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums. NeurIPS (2019)
Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives. AISTATS (2019)
Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums. CoRR (2019)
Hadrien Hendrikx, Laurent Massoulié, Francis R. Bach
Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives. CoRR (2018)
El Mahdi El Mhamdi, Rachid Guerraoui, Hadrien Hendrikx, Alexandre Maurer
Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning. NIPS (2017)
El Mahdi El Mhamdi, Rachid Guerraoui, Hadrien Hendrikx, Alexandre Maurer
Can AIs learn to avoid human interruption? CoRR (2017)
Hadrien Hendrikx, Miguel Núñez del Prado Cortez
Toward a route detection method base on detail call records. LA-CCI (2016)