Waïss Azizian
Publications
Publications
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skwdro: a library for Wasserstein distributionally robust machine learningJournal of Machine Learning Research, 2026, (Vol. 27), 27, pp.1-7 |
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Regularization for Wasserstein Distributionally Robust OptimizationESAIM: Control, Optimisation and Calculus of Variations, 2023, 33, pp.31. ⟨10.1051/cocv/2023019⟩ |
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The global convergence of stochastic gradient descent in non-convex landscapes: Sharp estimates via large deviationsICML 2025 - 42nd International Conference on Machine Learning, Jul 2025, Vancouver, Canada. pp.1-67 |
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What is the long-run distribution of stochastic gradient descent? A large deviations analysisICML 2024 - 41st International Conference on Machine Learning, Jul 2024, Vienna, Austria. pp.1-70 |
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Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), Dec 2023, New Orleans, United States. pp.14584-14596, ⟨10.5555/3666122.3666763⟩ |
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Expressive Power of Invariant and Equivariant Graph Neural NetworksICLR 2021 - International Conference on Learning Representations, May 2021, Virtual, Unknown Region |
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The last-iterate convergence rate of optimistic mirror descent in stochastic variational inequalitiesCOLT 2021 - 34th Annual Conference on Learning Theory, Aug 2021, Boulder, United States. pp.1-32, ⟨10.48550/arXiv.2107.01906⟩ |
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On the rate of convergence of Bregman proximal methods in constrained variational inequalities2022 |