Waïss Azizian

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Large Deviations

Stochastic Gradient

Variational Inequalities

Sequential Monte Carlo

Top Venues

Publications

Simon Weissmann, Sara Klein, Waïss Azizian, Leif Döring
Almost sure convergence rates of stochastic gradient methods under gradient domination. CoRR (2024)
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
What is the long-run distribution of stochastic gradient descent? A large deviations analysis. CoRR (2024)
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) (2024)
Waïss Azizian, Franck Iutzeler, Jérôme Malick
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models. CoRR (2023)
Waïss Azizian, Guillaume Baudart, Marc Lelarge
Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation. CoRR (2023)
Waïss Azizian, Franck Iutzeler, Jérôme Malick
Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models. NeurIPS (2023)
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
On the rate of convergence of Bregman proximal methods in constrained variational inequalities. CoRR (2022)
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities. COLT (2021)
Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities. CoRR (2021)
Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel
Accelerating Smooth Games by Manipulating Spectral Shapes. AISTATS (2020)
Adam Ibrahim, Waïss Azizian, Gauthier Gidel, Ioannis Mitliagkas
Linear Lower Bounds and Conditioning of Differentiable Games. ICML (2020)
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)
Waïss Azizian, Marc Lelarge
Characterizing the Expressive Power of Invariant and Equivariant Graph Neural Networks. CoRR (2020)
Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel
Accelerating Smooth Games by Manipulating Spectral Shapes. CoRR (2020)
Waïss Azizian, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel
A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games. CoRR (2019)
Adam Ibrahim, Waïss Azizian, Gauthier Gidel, Ioannis Mitliagkas
Lower Bounds and Conditioning of Differentiable Games. CoRR (2019)