| Expressive power of invariant and equivariant graph neural networks W Azizian, M Lelarge arXiv preprint arXiv:2006.15646, 2020 | 131 | 2020 |
| A tight and unified analysis of gradient-based methods for a whole spectrum of differentiable games W Azizian, I Mitliagkas, S Lacoste-Julien, G Gidel International Conference on Artificial Intelligence and Statistics, 2863-2873, 2020 | 95 | 2020 |
| Accelerating smooth games by manipulating spectral shapes W Azizian, D Scieur, I Mitliagkas, S Lacoste-Julien, G Gidel International Conference on Artificial Intelligence and Statistics, 1705-1715, 2020 | 45 | 2020 |
| The last-iterate convergence rate of optimistic mirror descent in stochastic variational inequalities W Azizian, F Iutzeler, J Malick, P Mertikopoulos Conference on Learning Theory, 326-358, 2021 | 27 | 2021 |
| Regularization for wasserstein distributionally robust optimization W Azizian, F Iutzeler, J Malick ESAIM: Control, Optimisation and Calculus of Variations 29, 33, 2023 | 8 | 2023 |
| Lower Bounds and Conditioning of Differentiable Games A Ibrahim, W Azizian, G Gidel, I Mitliagkas arXiv preprint arXiv:1906.07300, 2019 | 8 | 2019 |
| On the rate of convergence of Bregman proximal methods in constrained variational inequalities W Azizian, F Iutzeler, J Malick, P Mertikopoulos arXiv preprint arXiv:2211.08043, 2022 | 3 | 2022 |
| Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models W Azizian, F Iutzeler, J Malick arXiv preprint arXiv:2305.17076, 2023 | 2 | 2023 |
| Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation W Azizian, G Baudart, M Lelarge ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 2023 | | 2023 |
