Damien Scieur

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 33

Top Topics

Asymptotic Optimality

Density Estimation

Convergence Rate

Top Venues

Publications

Damien Scieur
Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates. AISTATS (2024)
Raghu Bollapragada, Damien Scieur, Alexandre d'Aspremont
Nonlinear acceleration of momentum and primal-dual algorithms. Math. Program. 198 (1) (2023)
Adrien Courtois, Damien Scieur, Jean-Michel Morel, Pablo Arias, Thomas Eboli
SING: A Plug-and-Play DNN Learning Technique. CoRR (2023)
Damien Scieur
Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates. CoRR (2023)
Baptiste Goujaud, Damien Scieur, Aymeric Dieuleveut, Adrien B. Taylor, Fabian Pedregosa
Super-Acceleration with Cyclical Step-sizes. AISTATS (2022)
Leonardo Cunha, Gauthier Gidel, Fabian Pedregosa, Damien Scieur, Courtney Paquette
Only Tails Matter: Average-Case Universality and Robustness in the Convex Regime. CoRR (2022)
Damien Scieur, Gauthier Gidel, Quentin Bertrand, Fabian Pedregosa
The Curse of Unrolling: Rate of Differentiating Through Optimization. NeurIPS (2022)
Leonardo Cunha, Gauthier Gidel, Fabian Pedregosa, Damien Scieur, Courtney Paquette
Only tails matter: Average-Case Universality and Robustness in the Convex Regime. ICML (2022)
Damien Scieur, Youngsung Kim
Connecting Sphere Manifolds Hierarchically for Regularization. CoRR (2021)
Alexandre d'Aspremont, Damien Scieur, Adrien Taylor
Acceleration Methods. CoRR (2021)
Rémi Le Priol, Frederik Kunstner, Damien Scieur, Simon Lacoste-Julien
Convergence Rates for the MAP of an Exponential Family and Stochastic Mirror Descent - an Open Problem. CoRR (2021)
Damien Scieur, Youngsung Kim
Connecting Sphere Manifolds Hierarchically for Regularization. ICML (2021)
Thomas Kerdreux, Lewis Liu, Simon Lacoste-Julien, Damien Scieur
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets. ICML (2021)
Damien Scieur, Lewis Liu, Thomas Pumir, Nicolas Boumal
Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates. AISTATS (2021)
Alexandre d'Aspremont, Damien Scieur, Adrien Taylor
Acceleration Methods. Found. Trends Optim. 5 (1-2) (2021)
Carles Domingo-Enrich, Fabian Pedregosa, Damien Scieur
Average-case Acceleration for Bilinear Games and Normal Matrices. ICLR (2021)
Damien Scieur, Alexandre d'Aspremont, Francis R. Bach
Regularized nonlinear acceleration. Math. Program. 179 (1) (2020)
Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel
Accelerating Smooth Games by Manipulating Spectral Shapes. AISTATS (2020)
Damien Scieur, Lewis Liu, Thomas Pumir, Nicolas Boumal
Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates. CoRR (2020)
Fabian Pedregosa, Damien Scieur
Average-case Acceleration Through Spectral Density Estimation. CoRR (2020)
Carles Domingo-Enrich, Fabian Pedregosa, Damien Scieur
Average-case Acceleration for Bilinear Games and Normal Matrices. CoRR (2020)
Damien Scieur, Fabian Pedregosa
Universal Asymptotic Optimality of Polyak Momentum. ICML (2020)
Fabian Pedregosa, Damien Scieur
Acceleration through spectral density estimation. ICML (2020)
Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel
Accelerating Smooth Games by Manipulating Spectral Shapes. CoRR (2020)
Samy Jelassi, Carles Domingo-Enrich, Damien Scieur, Arthur Mensch, Joan Bruna
Extra-gradient with player sampling for faster convergence in n-player games. ICML (2020)
Raghu Bollapragada, Damien Scieur, Alexandre d'Aspremont
Nonlinear Acceleration of Primal-Dual Algorithms. AISTATS (2019)
Samy Jelassi, Carles Domingo-Enrich, Damien Scieur, Arthur Mensch, Joan Bruna
Extra-gradient with player sampling for provable fast convergence in n-player games. CoRR (2019)
Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach
Nonlinear Acceleration of CNNs. CoRR (2018)
Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach
Nonlinear Acceleration of CNNs. ICLR (Workshop) (2018)
Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach
Nonlinear Acceleration of Deep Neural Networks. CoRR (2018)
Damien Scieur, Francis R. Bach, Alexandre d'Aspremont
Nonlinear Acceleration of Stochastic Algorithms. NIPS (2017)
Damien Scieur, Vincent Roulet, Francis R. Bach, Alexandre d'Aspremont
Integration Methods and Optimization Algorithms. NIPS (2017)
Damien Scieur, Alexandre d'Aspremont, Francis R. Bach
Regularized Nonlinear Acceleration. NIPS (2016)