Nonlinear Acceleration of Stochastic Algorithms. - Damien Scieur; Francis R. Bach; Alexandre d'Aspremont (NIPS, 2017)

Integration Methods and Optimization Algorithms. - Damien Scieur; Vincent Roulet; Francis R. Bach; Alexandre d'Aspremont (NIPS, 2017)

Nonlinear Acceleration of CNNs. - Damien Scieur; Edouard Oyallon; Alexandre d'Aspremont; Francis R. Bach (ICLR (Workshop), 2018)

Nonlinear Acceleration of Deep Neural Networks. - Damien Scieur; Edouard Oyallon; Alexandre d'Aspremont; Francis R. Bach (CoRR, 2018)

Nonlinear Acceleration of Primal-Dual Algorithms. - Raghu Bollapragada; Damien Scieur; Alexandre d'Aspremont (AISTATS, 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)

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

Extra-gradient with player sampling for faster convergence in n-player games. - Samy Jelassi; Carles Domingo-Enrich; Damien Scieur; Arthur Mensch; Joan Bruna (ICML, 2020)

Acceleration through spectral density estimation. - Fabian Pedregosa; Damien Scieur (ICML, 2020)

Universal Asymptotic Optimality of Polyak Momentum. - Damien Scieur; Fabian Pedregosa (ICML, 2020)

Average-case Acceleration Through Spectral Density Estimation. - Fabian Pedregosa; Damien Scieur (CoRR, 2020)

Regularized nonlinear acceleration. - Damien Scieur; Alexandre d'Aspremont; Francis R. Bach (Math. Program., 2020)

Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates. - Damien Scieur; Lewis Liu; Thomas Pumir; Nicolas Boumal (AISTATS, 2021)

Average-case Acceleration for Bilinear Games and Normal Matrices. - Carles Domingo-Enrich; Fabian Pedregosa; Damien Scieur (ICLR, 2021)

Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets. - Thomas Kerdreux; Lewis Liu; Simon Lacoste-Julien; Damien Scieur (ICML, 2021)

Connecting Sphere Manifolds Hierarchically for Regularization. - Damien Scieur; Youngsung Kim (ICML, 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)

Acceleration Methods. - Alexandre d'Aspremont; Damien Scieur; Adrien B. Taylor (Found. Trends Optim., 2021)

Super-Acceleration with Cyclical Step-sizes. - Baptiste Goujaud; Damien Scieur; Aymeric Dieuleveut; Adrien B. Taylor; Fabian Pedregosa (AISTATS, 2022)

Only tails matter: Average-Case Universality and Robustness in the Convex Regime. - Leonardo Cunha; Gauthier Gidel; Fabian Pedregosa; Damien Scieur; Courtney Paquette (ICML, 2022)

The Curse of Unrolling: Rate of Differentiating Through Optimization. - Damien Scieur; Gauthier Gidel; Quentin Bertrand; Fabian Pedregosa (NeurIPS, 2022)

SING: A Plug-and-Play DNN Learning Technique. - Adrien Courtois; Damien Scieur; Jean-Michel Morel; Pablo Arias 001; Thomas Eboli (CoRR, 2023)

Nonlinear acceleration of momentum and primal-dual algorithms. - Raghu Bollapragada; Damien Scieur; Alexandre d'Aspremont (Math. Program., 2023)

Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates. - Damien Scieur (AISTATS, 2024)

Understanding Adam Requires Better Rotation Dependent Assumptions. - Lucas Maes; Tianyue H. Zhang; Alexia Jolicoeur-Martineau; Ioannis Mitliagkas; Damien Scieur; Simon Lacoste-Julien; Charles Guille-Escuret (CoRR, 2024)