Azizian, Waïss

7 publications

TMLR 2025 Almost Sure Convergence of Stochastic Gradient Methods Under Gradient Domination Simon Weissmann, Sara Klein, Waïss Azizian, Leif Döring

ICMLW 2023 Automatic Rao-Blackwellization for Sequential Monte Carlo with Belief Propagation Waïss Azizian, Guillaume Baudart, Marc Lelarge

NeurIPS 2023 Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models Waïss Azizian, Franck Iutzeler, Jérôme Malick

ICLR 2021 Expressive Power of Invariant and Equivariant Graph Neural Networks Waiss Azizian, Marc Lelarge

COLT 2021 The Last-Iterate Convergence Rate of Optimistic Mirror Descent in Stochastic Variational Inequalities Waïss Azizian, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos

AISTATS 2020 A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games Waïss Azizian, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel

AISTATS 2020 Accelerating Smooth Games by Manipulating Spectral Shapes Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel