Waïss Azizian

24 papers A* 6A 2Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	skwdro: a library for Wasserstein distributionally robust machine learning. J. Mach. Learn. Res. Florian Vincent, Waïss Azizian, Franck Iutzeler, Jérôme Malick
2025	J	`jnl`	Almost Sure Convergence of Stochastic Gradient Methods under Gradient Domination. Trans. Mach. Learn. Res. Simon Weissmann, Sara Klein, Waïss Azizian, Leif Döring
2025	J	`jnl`	How Does the Pretraining Distribution Shape In-Context Learning? Task Selection, Generalization, and Robustness. CoRR Waïss Azizian, Ali Hasan
2025	J	`jnl`	The Geometries of Truth Are Orthogonal Across Tasks. CoRR Waïss Azizian, Michael Kirchhof, Eugène Ndiaye, Louis Béthune, Michal Klein, Pierre Ablin, Marco Cuturi
2025	A*	`conf`	The Global Convergence Time of Stochastic Gradient Descent in Non-Convex Landscapes: Sharp Estimates via Large Deviations. ICML Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2025	J	`jnl`	The global convergence time of stochastic gradient descent in non-convex landscapes: Sharp estimates via large deviations. CoRR Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2024	J	`jnl`	Almost sure convergence rates of stochastic gradient methods under gradient domination. CoRR Simon Weissmann, Sara Klein, Waïss Azizian, Leif Döring
2024	J	`jnl`	The Rate of Convergence of Bregman Proximal Methods: Local Geometry Versus Regularity Versus Sharpness. SIAM J. Optim. Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2024	A*	`conf`	What is the Long-Run Distribution of Stochastic Gradient Descent? A Large Deviations Analysis. ICML Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2024	J	`jnl`	What is the long-run distribution of stochastic gradient descent? A large deviations analysis. CoRR Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2023	J	`jnl`	Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation. CoRR Waïss Azizian, Guillaume Baudart, Marc Lelarge
2023	A*	`conf`	Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models. NeurIPS Waïss Azizian, Franck Iutzeler, Jérôme Malick
2023	J	`jnl`	Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models. CoRR Waïss Azizian, Franck Iutzeler, Jérôme Malick
2022	J	`jnl`	On the rate of convergence of Bregman proximal methods in constrained variational inequalities. CoRR Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2021	A*	`conf`	Expressive Power of Invariant and Equivariant Graph Neural Networks. ICLR Waïss Azizian, Marc Lelarge
2021	A*	`conf`	The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities. COLT Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2021	J	`jnl`	The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities. CoRR Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos
2020	A	`conf`	A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games. AISTATS Waïss Azizian, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel
2020	A	`conf`	Accelerating Smooth Games by Manipulating Spectral Shapes. AISTATS Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel
2020	J	`jnl`	Accelerating Smooth Games by Manipulating Spectral Shapes. CoRR Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel
2020	J	`jnl`	Characterizing the Expressive Power of Invariant and Equivariant Graph Neural Networks. CoRR Waïss Azizian, Marc Lelarge
2020	A*	`conf`	Linear Lower Bounds and Conditioning of Differentiable Games. ICML Adam Ibrahim, Waïss Azizian, Gauthier Gidel, Ioannis Mitliagkas
2019	J	`jnl`	A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games. CoRR Waïss Azizian, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel
2019	J	`jnl`	Lower Bounds and Conditioning of Differentiable Games. CoRR Adam Ibrahim, Waïss Azizian, Gauthier Gidel, Ioannis Mitliagkas