Jérôme Malick
12 papers · 2012–2026 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (23) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
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Keyword Champion
(2)
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Keyword Pioneer
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Trend Setter
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Unstoppable · Bronze
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The Questioner
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Century Club · Bronze
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Keyword Collector
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Top co-authors
Research topics
Keywords
stochastic optimization
(3)
distributionally robust optimization
(3)
stochastic gradient descent
(3)
convergence rate
(3)
wasserstein distance
(3)
asynchronous optimization
(2)
variational inequality
(2)
large deviation
(2)
convex optimization
(1)
bregman divergence
(1)
online learning
(1)
singular value decomposition
(1)
coordinate descent
(1)
sparse optimization
(1)
distributed learning
(1)
optimal transport
(1)
optimization theory
(1)
trace norm regularization
(1)
mirror descent
(1)
decision making under uncertainty
(1)
Papers
skwdro: a library for Wasserstein distributionally robust machine learning
JMLR 2026
The Global Convergence Time of Stochastic Gradient Descent in Non-Convex Landscapes: Sharp Estimates via Large Deviations
ICML 2025
Universal generalization guarantees for Wasserstein distributionally robust models
ICLR 2025
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
Model Consistency for Learning with Mirror-Stratifiable Regularizers
AISTATS 2019
On the convergence of single-call stochastic extra-gradient methods
NeurIPS 2019
A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning
ICML 2018
Lifted coordinate descent for learning with trace-norm regularization
AISTATS 2012