Expressive power of invariant and equivariant graph neural networks W Azizian, M Lelarge
arXiv preprint arXiv:2006.15646, 2020
164 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
104 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
52 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
31 2021 Regularization for wasserstein distributionally robust optimization W Azizian, F Iutzeler, J Malick
ESAIM: Control, Optimisation and Calculus of Variations 29, 33, 2023
16 2023 Lower Bounds and Conditioning of Differentiable Games A Ibrahim, W Azizian, G Gidel, I Mitliagkas
arXiv preprint arXiv:1906.07300, 2019
8 2019 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
5 2023 Exact generalization guarantees for (regularized) wasserstein distributionally robust models W Azizian, F Iutzeler, J Malick
Advances in Neural Information Processing Systems 36, 2024
4 2024 The Rate of Convergence of Bregman Proximal Methods: Local Geometry Versus Regularity Versus Sharpness W Azizian, F Iutzeler, J Malick, P Mertikopoulos
SIAM Journal on Optimization 34 (3), 2440-2471, 2024
3 * 2024 Almost sure convergence rates of stochastic gradient methods under gradient domination S Weissmann, S Klein, W Azizian, L Döring
arXiv preprint arXiv:2405.13592, 2024
2 2024 : a library for Wasserstein distributionally robust machine learningF Vincent, W Azizian, F Iutzeler, J Malick
arXiv preprint arXiv:2410.21231, 2024
2024 What is the long-run distribution of stochastic gradient descent? A large deviations analysis W Azizian, F Iutzeler, J Malick, P Mertikopoulos
arXiv preprint arXiv:2406.09241, 2024
2024