Waïss Azizian
6 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
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Research topics
Keywords
distributionally robust optimization
(2)
bilinear game
(2)
convergence rate
(2)
wasserstein distance
(2)
bregman divergence
(1)
gradient descent
(1)
spectral analysis
(1)
decision making under uncertainty
(1)
mirror descent
(1)
expressive power
(1)
consensus optimization
(1)
optimistic mirror descent
(1)
generalization guarantee
(1)
differentiable game
(1)
approximation guarantee
(1)
equivariant representation
(1)
permutation invariance
(1)
entropic smoothing
(1)
combinatorial problem
(1)
graph neural network
(1)
Papers
skwdro: a library for Wasserstein distributionally robust machine learning
JMLR 2026
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models
NeurIPS 2023
Expressive Power of Invariant and Equivariant Graph Neural Networks
ICLR 2021
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities
COLT 2021
Accelerating Smooth Games by Manipulating Spectral Shapes
AISTATS 2020
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games
AISTATS 2020