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ORCIDWaïss Azizian
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2020 – today
- 2024
[j1]Waïss Azizian, Franck Iutzeler
, Jérôme Malick, Panayotis Mertikopoulos:
The Rate of Convergence of Bregman Proximal Methods: Local Geometry Versus Regularity Versus Sharpness. SIAM J. Optim. 34(3): 2440-2471 (2024)- [c7]Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis. ICML 2024 - [i10]Simon Weissmann, Sara Klein, Waïss Azizian, Leif Döring:
Almost sure convergence rates of stochastic gradient methods under gradient domination. CoRR abs/2405.13592 (2024) - [i9]Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
What is the long-run distribution of stochastic gradient descent? A large deviations analysis. CoRR abs/2406.09241 (2024) - 2023
- [c6]Waïss Azizian, Franck Iutzeler, Jérôme Malick:
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models. NeurIPS 2023 - [i8]Waïss Azizian, Franck Iutzeler, Jérôme Malick:
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models. CoRR abs/2305.17076 (2023) - [i7]Waïss Azizian, Guillaume Baudart, Marc Lelarge:
Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation. CoRR abs/2312.09860 (2023) - 2022
- [i6]Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
On the rate of convergence of Bregman proximal methods in constrained variational inequalities. CoRR abs/2211.08043 (2022) - 2021
- [c5]Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities. COLT 2021: 326-358 - [c4]Waïss Azizian, Marc Lelarge:
Expressive Power of Invariant and Equivariant Graph Neural Networks. ICLR 2021 - [i5]Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos:
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities. CoRR abs/2107.01906 (2021) - 2020
- [c3]Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel:
Accelerating Smooth Games by Manipulating Spectral Shapes. AISTATS 2020: 1705-1715 - [c2]Waïss Azizian, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel:
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games. AISTATS 2020: 2863-2873 - [c1]Adam Ibrahim, Waïss Azizian, Gauthier Gidel, Ioannis Mitliagkas:
Linear Lower Bounds and Conditioning of Differentiable Games. ICML 2020: 4583-4593 - [i4]Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel:
Accelerating Smooth Games by Manipulating Spectral Shapes. CoRR abs/2001.00602 (2020) - [i3]Waïss Azizian, Marc Lelarge:
Characterizing the Expressive Power of Invariant and Equivariant Graph Neural Networks. CoRR abs/2006.15646 (2020)
2010 – 2019
- 2019
- [i2]Waïss Azizian, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel:
A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games. CoRR abs/1906.05945 (2019) - [i1]Adam Ibrahim, Waïss Azizian, Gauthier Gidel, Ioannis Mitliagkas:
Lower Bounds and Conditioning of Differentiable Games. CoRR abs/1906.07300 (2019)
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