Waïss Azizian

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The global convergence of stochastic gradient descent in non-convex landscapes: Sharp estimates via large deviations

Waïss Azizian , Franck Iutzeler , Jérôme Malick , Panayotis Mertikopoulos

ICML 2025 - 42nd International Conference on Machine Learning, Jul 2025, Vancouver, Canada. pp.1-67

Communication dans un congrès hal-05136755v1
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What is the long-run distribution of stochastic gradient descent? A large deviations analysis

Waïss Azizian , Franck Iutzeler , Jérôme Malick , Panayotis Mertikopoulos

ICML 2024 - 41st International Conference on Machine Learning, Jul 2024, Vienna, Austria. pp.1-70

Communication dans un congrès hal-04629305v1
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Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models

Waïss Azizian , Franck Iutzeler , Jérôme Malick

37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), Dec 2023, New Orleans, United States. pp.14584-14596, ⟨10.5555/3666122.3666763⟩

Communication dans un congrès hal-04106850v3

Expressive Power of Invariant and Equivariant Graph Neural Networks

Waïss Azizian , Marc Lelarge

ICLR 2021 - International Conference on Learning Representations, May 2021, Virtual, Unknown Region

Communication dans un congrès hal-03464024v1
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The last-iterate convergence rate of optimistic mirror descent in stochastic variational inequalities

Waïss Azizian , Franck Iutzeler , Jérôme Malick , Panayotis Mertikopoulos

COLT 2021 - 34th Annual Conference on Learning Theory, Aug 2021, Boulder, United States. pp.1-32, ⟨10.48550/arXiv.2107.01906⟩

Communication dans un congrès hal-03342583v1