Hadrien Hendrikx
13 papers · 2017–2025 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (18)
🧭
Keyword Pioneer
🗃️
Keyword Collector
(55)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(10)
Mathematics & Optimization
(9)
Optimization
(8)
Mathematics
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Deep Learning
(1)
Reinforcement Learning
(1)
Security & Privacy
(1)
Application Areas
(1)
Core AI
(1)
Differential Privacy
(1)
Learning Types
(1)
Methods
(1)
Keywords
decentralized optimization
(5)
distributed learning
(5)
decentralized learning
(3)
distributed optimization
(3)
gossip algorithm
(3)
stochastic optimization
(3)
variance reduction
(2)
spectral gap
(2)
data-parallel optimization
(2)
stochastic gradient descent
(2)
graph topology
(2)
asynchronous computation
(1)
random walk
(1)
bregman divergence
(1)
convex optimization
(1)
multi-agent reinforcement learning
(1)
accelerated gradient
(1)
empirical risk minimization
(1)
communication efficiency
(1)
local updates
(1)
Papers
Unified Breakdown Analysis for Byzantine Robust Gossip
ICML 2025
The Relative Gaussian Mechanism and its Application to Private Gradient Descent
AISTATS 2024
A principled framework for the design and analysis of token algorithms
AISTATS 2023
Beyond Spectral Gap: The Role of the Topology in Decentralized Learning
JMLR 2023
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
ICML 2023
Beyond spectral gap: the role of the topology in decentralized learning
NeurIPS 2022
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms
NeurIPS 2021
Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction
ICML 2021
Dual-Free Stochastic Decentralized Optimization with Variance Reduction
NeurIPS 2020
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization
ICML 2020
Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives
AISTATS 2019
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums
NeurIPS 2019
Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning
NeurIPS 2017