Waïss Azizian
According to our database1,
Waïss Azizian
authored at least 15 papers
between 2019 and 2024.
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2024
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Bibliography
2024
The Rate of Convergence of Bregman Proximal Methods: Local Geometry Versus Regularity Versus Sharpness.
SIAM J. Optim., 2024
CoRR, 2024
Almost sure convergence rates of stochastic gradient methods under gradient domination.
CoRR, 2024
What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
CoRR, 2023
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
On the rate of convergence of Bregman proximal methods in constrained variational inequalities.
CoRR, 2022
2021
Proceedings of the 9th International Conference on Learning Representations, 2021
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities.
Proceedings of the Conference on Learning Theory, 2021
2020
Characterizing the Expressive Power of Invariant and Equivariant Graph Neural Networks.
CoRR, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games.
CoRR, 2019