Damien Scieur

Simon Lacoste-Julien

Charles Guille-Escuret

CoRR, 2024

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

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Nonlinear acceleration of momentum and primal-dual algorithms.

[BibT_eX]

[DOI]

Raghu Bollapragada

Math. Program., March, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

2022

The Curse of Unrolling: Rate of Differentiating Through Optimization.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Super-Acceleration with Cyclical Step-sizes.

[BibT_eX]

[DOI]

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

2021

Acceleration Methods.

[BibT_eX]

[DOI]

Adrien B. Taylor

Found. Trends Optim., 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Connecting Sphere Manifolds Hierarchically for Regularization.

[BibT_eX]

[DOI]

Youngsung Kim

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

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

[BibT_eX]

[DOI]

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

Average-case Acceleration for Bilinear Games and Normal Matrices.

[BibT_eX]

[DOI]

Carles Domingo-Enrich

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

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

[BibT_eX]

[DOI]

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

2020

Regularized nonlinear acceleration.

[BibT_eX]

[DOI]

Math. Program., 2020

Average-case Acceleration Through Spectral Density Estimation.

[BibT_eX]

[DOI]

CoRR, 2020

Universal Asymptotic Optimality of Polyak Momentum.

[BibT_eX]

[DOI]

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

Acceleration through spectral density estimation.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Samy Jelassi

Carles Domingo-Enrich

Arthur Mensch

Joan Bruna

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

Accelerating Smooth Games by Manipulating Spectral Shapes.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Samy Jelassi

Carles Domingo-Enrich

Arthur Mensch

Joan Bruna

CoRR, 2019

Nonlinear Acceleration of Primal-Dual Algorithms.

[BibT_eX]

[DOI]

Raghu Bollapragada

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

2018

Nonlinear Acceleration of Deep Neural Networks.

[BibT_eX]

[DOI]

Edouard Oyallon

CoRR, 2018

Nonlinear Acceleration of CNNs.

[BibT_eX]

[DOI]

Edouard Oyallon

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

2017

Integration Methods and Optimization Algorithms.

[BibT_eX]

[DOI]

Vincent Roulet

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

Nonlinear Acceleration of Stochastic Algorithms.

[BibT_eX]

[DOI]