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Damien Scieur
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2020 – today
- 2024
- [c17]Damien Scieur:
Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates. AISTATS 2024: 883-891 - [i14]Lucas Maes, Tianyue H. Zhang, Alexia Jolicoeur-Martineau, Ioannis Mitliagkas, Damien Scieur, Simon Lacoste-Julien, Charles Guille-Escuret:
Understanding Adam Requires Better Rotation Dependent Assumptions. CoRR abs/2410.19964 (2024) - 2023
- [j3]Raghu Bollapragada, Damien Scieur, Alexandre d'Aspremont:
Nonlinear acceleration of momentum and primal-dual algorithms. Math. Program. 198(1): 325-362 (2023) - [i13]Adrien Courtois, Damien Scieur, Jean-Michel Morel, Pablo Arias, Thomas Eboli:
SING: A Plug-and-Play DNN Learning Technique. CoRR abs/2305.15997 (2023) - [i12]Damien Scieur:
Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates. CoRR abs/2305.19179 (2023) - 2022
- [c16]Baptiste Goujaud, Damien Scieur, Aymeric Dieuleveut, Adrien B. Taylor, Fabian Pedregosa:
Super-Acceleration with Cyclical Step-sizes. AISTATS 2022: 3028-3065 - [c15]Leonardo Cunha, Gauthier Gidel, Fabian Pedregosa, Damien Scieur, Courtney Paquette:
Only tails matter: Average-Case Universality and Robustness in the Convex Regime. ICML 2022: 4474-4491 - [c14]Damien Scieur, Gauthier Gidel, Quentin Bertrand, Fabian Pedregosa:
The Curse of Unrolling: Rate of Differentiating Through Optimization. NeurIPS 2022 - [i11]Leonardo Cunha, Gauthier Gidel, Fabian Pedregosa, Damien Scieur, Courtney Paquette:
Only Tails Matter: Average-Case Universality and Robustness in the Convex Regime. CoRR abs/2206.09901 (2022) - 2021
- [j2]Alexandre d'Aspremont, Damien Scieur, Adrien B. Taylor:
Acceleration Methods. Found. Trends Optim. 5(1-2): 1-245 (2021) - [c13]Damien Scieur, Lewis Liu, Thomas Pumir, Nicolas Boumal:
Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates. AISTATS 2021: 550-558 - [c12]Carles Domingo-Enrich, Fabian Pedregosa, Damien Scieur:
Average-case Acceleration for Bilinear Games and Normal Matrices. ICLR 2021 - [c11]Thomas Kerdreux, Lewis Liu, Simon Lacoste-Julien, Damien Scieur:
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets. ICML 2021: 5398-5408 - [c10]Damien Scieur, Youngsung Kim:
Connecting Sphere Manifolds Hierarchically for Regularization. ICML 2021: 9399-9409 - [i10]Alexandre d'Aspremont, Damien Scieur, Adrien B. Taylor:
Acceleration Methods. CoRR abs/2101.09545 (2021) - [i9]Damien Scieur, Youngsung Kim:
Connecting Sphere Manifolds Hierarchically for Regularization. CoRR abs/2106.13549 (2021) - [i8]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 abs/2111.06826 (2021) - 2020
- [j1]Damien Scieur, Alexandre d'Aspremont, Francis R. Bach:
Regularized nonlinear acceleration. Math. Program. 179(1): 47-83 (2020) - [c9]Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel:
Accelerating Smooth Games by Manipulating Spectral Shapes. AISTATS 2020: 1705-1715 - [c8]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: 4736-4745 - [c7]Fabian Pedregosa, Damien Scieur:
Acceleration through spectral density estimation. ICML 2020: 7553-7562 - [c6]Damien Scieur, Fabian Pedregosa:
Universal Asymptotic Optimality of Polyak Momentum. ICML 2020: 8565-8572 - [i7]Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel:
Accelerating Smooth Games by Manipulating Spectral Shapes. CoRR abs/2001.00602 (2020) - [i6]Fabian Pedregosa, Damien Scieur:
Average-case Acceleration Through Spectral Density Estimation. CoRR abs/2002.04756 (2020) - [i5]Carles Domingo-Enrich, Fabian Pedregosa, Damien Scieur:
Average-case Acceleration for Bilinear Games and Normal Matrices. CoRR abs/2010.02076 (2020) - [i4]Damien Scieur, Lewis Liu, Thomas Pumir, Nicolas Boumal:
Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates. CoRR abs/2011.03358 (2020)
2010 – 2019
- 2019
- [c5]Raghu Bollapragada, Damien Scieur, Alexandre d'Aspremont:
Nonlinear Acceleration of Primal-Dual Algorithms. AISTATS 2019: 739-747 - [i3]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 abs/1905.12363 (2019) - 2018
- [c4]Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach:
Nonlinear Acceleration of CNNs. ICLR (Workshop) 2018 - [i2]Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach:
Nonlinear Acceleration of Deep Neural Networks. CoRR abs/1805.09639 (2018) - [i1]Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach:
Nonlinear Acceleration of CNNs. CoRR abs/1806.00370 (2018) - 2017
- [c3]Damien Scieur, Vincent Roulet, Francis R. Bach, Alexandre d'Aspremont:
Integration Methods and Optimization Algorithms. NIPS 2017: 1109-1118 - [c2]Damien Scieur, Francis R. Bach, Alexandre d'Aspremont:
Nonlinear Acceleration of Stochastic Algorithms. NIPS 2017: 3982-3991 - 2016
- [c1]Damien Scieur, Alexandre d'Aspremont, Francis R. Bach:
Regularized Nonlinear Acceleration. NIPS 2016: 712-720
Coauthor Index
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