Hendrikx, Hadrien

16 publications

TMLR 2026 Byzantine-Robust Gossip: Insights from a Dual Approach Renaud Gaucher, Hadrien Hendrikx, Aymeric Dieuleveut
ICML 2025 Unified Breakdown Analysis for Byzantine Robust Gossip Renaud Gaucher, Aymeric Dieuleveut, Hadrien Hendrikx
TMLR 2024 Exponential Moving Average of Weights in Deep Learning: Dynamics and Benefits Daniel Morales-Brotons, Thijs Vogels, Hadrien Hendrikx
AISTATS 2024 The Relative Gaussian Mechanism and Its Application to Private Gradient Descent Hadrien Hendrikx, Paul Mangold, Aurélien Bellet
AISTATS 2023 A Principled Framework for the Design and Analysis of Token Algorithms Hadrien Hendrikx
JMLR 2023 Beyond Spectral Gap: The Role of the Topology in Decentralized Learning Thijs Vogels, Hadrien Hendrikx, Martin Jaggi
ICML 2023 Revisiting Gradient Clipping: Stochastic Bias and Tight Convergence Guarantees Anastasia Koloskova, Hadrien Hendrikx, Sebastian U Stich
NeurIPSW 2022 Asynchronous Speedup in Decentralized Optimization Mathieu Even, Hadrien Hendrikx, Laurent Massoulié
NeurIPS 2022 Beyond Spectral Gap: The Role of the Topology in Decentralized Learning Thijs Vogels, Hadrien Hendrikx, Martin Jaggi
NeurIPS 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 Taylor
ICML 2021 Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction Radu Alexandru Dragomir, Mathieu Even, Hadrien Hendrikx
NeurIPS 2020 Dual-Free Stochastic Decentralized Optimization with Variance Reduction Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
ICML 2020 Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization Hadrien Hendrikx, Lin Xiao, Sebastien Bubeck, Francis Bach, Laurent Massoulie
AISTATS 2019 Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives Hadrien Hendrikx, Francis Bach, Laurent Massoulie
NeurIPS 2019 An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums Hadrien Hendrikx, Francis Bach, Laurent Massoulié
NeurIPS 2017 Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning El Mahdi El Mhamdi, Rachid Guerraoui, Hadrien Hendrikx, Alexandre Maurer