Damien Scieur

According to our database, Damien Scieur authored at least 24 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Nonlinear acceleration of momentum and primal-dual algorithms.

Raghu Bollapragada, Damien Scieur, Alexandre d'Aspremont

Math. Program., March, 2023

Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates.

Damien Scieur

CoRR, 2023

SING: A Plug-and-Play DNN Learning Technique.

Adrien Courtois, Damien Scieur, Jean-Michel Morel, Pablo Arias, Thomas Eboli

CoRR, 2023

2022

The Curse of Unrolling: Rate of Differentiating Through Optimization.

Damien Scieur, Gauthier Gidel, Quentin Bertrand, Fabian Pedregosa

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Only tails matter: Average-Case Universality and Robustness in the Convex Regime.

Leonardo Cunha, Gauthier Gidel, Fabian Pedregosa, Damien Scieur, Courtney Paquette

Proceedings of the International Conference on Machine Learning, 2022

Super-Acceleration with Cyclical Step-sizes.

Baptiste Goujaud, Damien Scieur, Aymeric Dieuleveut, Adrien B. Taylor, Fabian Pedregosa

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Acceleration Methods.

Alexandre d'Aspremont, Damien Scieur, Adrien B. Taylor

Found. Trends Optim., 2021

Convergence Rates for the MAP of an Exponential Family and Stochastic Mirror Descent - an Open Problem.

Rémi Le Priol, Frederik Kunstner, Damien Scieur, Simon Lacoste-Julien

CoRR, 2021

Connecting Sphere Manifolds Hierarchically for Regularization.

Damien Scieur, Youngsung Kim

Proceedings of the 38th International Conference on Machine Learning, 2021

Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets.

Thomas Kerdreux, Lewis Liu, Simon Lacoste-Julien, Damien Scieur

Proceedings of the 38th International Conference on Machine Learning, 2021

Average-case Acceleration for Bilinear Games and Normal Matrices.

Carles Domingo-Enrich, Fabian Pedregosa, Damien Scieur

Proceedings of the 9th International Conference on Learning Representations, 2021

Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates.

Damien Scieur, Lewis Liu, Thomas Pumir, Nicolas Boumal

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Regularized nonlinear acceleration.

Damien Scieur, Alexandre d'Aspremont, Francis R. Bach

Math. Program., 2020

Average-case Acceleration Through Spectral Density Estimation.

Fabian Pedregosa, Damien Scieur

CoRR, 2020

Universal Asymptotic Optimality of Polyak Momentum.

Damien Scieur, Fabian Pedregosa

Proceedings of the 37th International Conference on Machine Learning, 2020

Acceleration through spectral density estimation.

Fabian Pedregosa, Damien Scieur

Proceedings of the 37th International Conference on Machine Learning, 2020

Extra-gradient with player sampling for faster convergence in n-player games.

Samy Jelassi, Carles Domingo-Enrich, Damien Scieur, Arthur Mensch, Joan Bruna

Proceedings of the 37th International Conference on Machine Learning, 2020

Accelerating Smooth Games by Manipulating Spectral Shapes.

Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Extra-gradient with player sampling for provable fast convergence in n-player games.

Samy Jelassi, Carles Domingo-Enrich, Damien Scieur, Arthur Mensch, Joan Bruna

CoRR, 2019

Nonlinear Acceleration of Primal-Dual Algorithms.

Raghu Bollapragada, Damien Scieur, Alexandre d'Aspremont

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Nonlinear Acceleration of Deep Neural Networks.

Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach

CoRR, 2018

Nonlinear Acceleration of CNNs.

Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Integration Methods and Optimization Algorithms.

Damien Scieur, Vincent Roulet, Francis R. Bach, Alexandre d'Aspremont

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Nonlinear Acceleration of Stochastic Algorithms.

Damien Scieur, Francis R. Bach, Alexandre d'Aspremont

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017