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Waïss Azizian
Waïss Azizian
Phd, UGA, Grenoble
E-mail confirmado em univ-grenoble-alpes.fr - Página inicial
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Expressive power of invariant and equivariant graph neural networks
W Azizian, M Lelarge
arXiv preprint arXiv:2006.15646, 2020
1642020
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
1042020
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
522020
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
312021
Regularization for wasserstein distributionally robust optimization
W Azizian, F Iutzeler, J Malick
ESAIM: Control, Optimisation and Calculus of Variations 29, 33, 2023
162023
Lower Bounds and Conditioning of Differentiable Games
A Ibrahim, W Azizian, G Gidel, I Mitliagkas
arXiv preprint arXiv:1906.07300, 2019
82019
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
52023
Exact generalization guarantees for (regularized) wasserstein distributionally robust models
W Azizian, F Iutzeler, J Malick
Advances in Neural Information Processing Systems 36, 2024
42024
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
22024
: a library for Wasserstein distributionally robust machine learning
F 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
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