Franck Iutzeler
12 papers · 2017–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (21) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Keyword Pioneer
🗃️
Keyword Collector
(60)
📈
Trend Setter
💎
Century Club · Bronze
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Unstoppable · Silver
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The Questioner
Venues
Top co-authors
Research topics
Keywords
stochastic gradient descent
(4)
convergence rate
(3)
stochastic optimization
(3)
wasserstein distance
(2)
asynchronous optimization
(2)
distributionally robust optimization
(2)
variational inequality
(2)
large deviation
(2)
multi-class classification
(1)
empirical risk minimization
(1)
binary classification
(1)
bregman divergence
(1)
distributed learning
(1)
strong convexity
(1)
optimal transport
(1)
smoothness
(1)
optimization theory
(1)
sampling strategy
(1)
mirror descent
(1)
decision making under uncertainty
(1)
Papers
skwdro: a library for Wasserstein distributionally robust machine learning
JMLR 2026
On the Private Estimation of Smooth Transport Maps
ICML 2025
The Global Convergence Time of Stochastic Gradient Descent in Non-Convex Landscapes: Sharp Estimates via Large Deviations
ICML 2025
Derivatives of Stochastic Gradient Descent in parametric optimization
NeurIPS 2024
What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis
ICML 2024
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models
NeurIPS 2023
Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism
JMLR 2022
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities
COLT 2021
Explore Aggressively, Update Conservatively: Stochastic Extragradient Methods with Variable Stepsize Scaling
NeurIPS 2020
On the convergence of single-call stochastic extra-gradient methods
NeurIPS 2019
A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning
ICML 2018
Aggressive Sampling for Multi-class to Binary Reduction with Applications to Text Classification
NeurIPS 2017