Publications

See also my Google Scholar profile.

Full interactive list (search, compact view, abstracts) requires JavaScript. See also my Google Scholar.Books & Monographs

Acceleration methods — Alexandre d'Aspremont, Damien Scieur, Adrien Taylor — Foundations and Trends in Optimization, 2021

Journal Articles

Nonlinear acceleration of momentum and primal-dual algorithms — Raghu Bollapragada, Damien Scieur, Alexandre d'Aspremont — Mathematical Programming, 2022

Regularized nonlinear acceleration — Damien Scieur, Alexandre d'Aspremont, Francis Bach — Mathematical Programming, 2020

Application of Stochastic Dual Dynamic Programming to the Real-Time Dispatch of Storage under Renewable Supply Uncertainty — Anthony Papavasiliou, Yuting Mou, Léopold Cambier, Damien Scieur — IEEE Transactions on Sustainable Energy, 2017

Conference Papers (peer-reviewed)

Strongly Convex Sets in Riemannian Manifolds — Damien Scieur, David Martínez-Rubio, Thomas Kerdreux, Alexandre d'Aspremont, Sebastian Pokutta — International Conference on Learning Representations, 2026

Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates — Damien Scieur — International Conference on Artificial Intelligence and Statistics, 2024

Understanding Adam Requires Better Rotation Dependent Assumptions — Tianyue H. Zhang, Lucas Maes, Alexandre Milligan, Alexia Jolicoeur-Martineau, Ioannis Mitliagkas, Damien Scieur — Advances in Neural Information Processing Systems, 2024

Only tails matter: Average-Case Universality and Robustness in the Convex Regime — Leonardo Cunha, Gauthier Gidel, Fabian Pedregosa, Courtney Paquette, Damien Scieur — International Conference on Machine Learning, 2022

Super-acceleration with cyclical step-sizes — Baptiste Goujaud, Damien Scieur, Aymeric Dieuleveut, Adrien B Taylor, Fabian Pedregosa — International Conference on Artificial Intelligence and Statistics, 2022

The Curse of Unrolling: Rate of Differentiating Through Optimization — Damien Scieur, Gauthier Gidel, Quentin Bertrand, Fabian Pedregosa — Advances in Neural Information Processing Systems, 2022

Accelerating smooth games by manipulating spectral shapes — Waïss Azizian, Damien Scieur, Ioannis Mitliagkas, Simon Lacoste-Julien, Gauthier Gidel — International Conference on Artificial Intelligence and Statistics, 2021

Affine invariant analysis of frank-wolfe on strongly convex sets — Thomas Kerdreux, Lewis Liu, Simon Lacoste-Julien, Damien Scieur — International Conference on Machine Learning, 2021

Connecting Sphere Manifolds Hierarchically for Regularization — Damien Scieur, Youngsung Kim — International Conference on Machine Learning, 2021

Generalization of Quasi-Newton methods: application to robust symmetric multisecant updates — Damien Scieur, Lewis Liu, Thomas Pumir, Nicolas Boumal — International Conference on Artificial Intelligence and Statistics, 2021

Acceleration through spectral density estimation — Fabian Pedregosa, Damien Scieur — International Conference on Machine Learning, 2020

Average-case acceleration for bilinear games and normal matrices — Carles Domingo-Enrich, Fabian Pedregosa, Damien Scieur — International Conference on Learning Representations, 2020

Extra-gradient with player sampling for faster convergence in n-player games — Samy Jelassi, Carles Domingo-Enrich, Damien Scieur, Arthur Mensch, Joan Bruna — International Conference on Machine Learning, 2020

Universal average-case optimality of polyak momentum — Damien Scieur, Fabian Pedregosa — International Conference on Machine Learning, 2020

Nonlinear Acceleration of Primal-Dual Algorithms — Raghu Bollapragada, Damien Scieur, Alexandre d'Aspremont — The 22nd International Conference on Artificial Intelligence and Statistics, 2019

Optimal Management of Storage for Offsetting Solar Power Uncertainty using Multistage Stochastic Programming — Taku Kaneda, Bruno Losseau, Anthony Papavasiliou, Damien Scieur, Léopold Cambier, Pierre Henneaux, Niels Leemput — Proceedings of 20th Power Systems Computation Conference, 2018

Integration Methods and Accelerated Optimization Algorithms — Damien Scieur, Vincent Roulet, Francis Bach, Alexandre d'Aspremont — Advances in Neural Information Processing Systems, 2017

Nonlinear Acceleration of Stochastic Algorithms — Damien Scieur, Alexandre d'Aspremont, Francis Bach — Advances in Neural Information Processing Systems, 2017

Regularized Nonlinear Acceleration — Damien Scieur, Alexandre d'Aspremont, Francis Bach — Advances in Neural Information Processing Systems, 2016

Workshop Papers

LevyScore: A Fast Sample-Wise Confidence Score of Pretrained Joint Embedding Model — Lucas Maes, Damien Scieur, Randall Balestriero — UniReps: 3rd Edition of the Workshop on Unifying Representations in Neural Networks, 2024

Relational Representation Learning — Lucas Maes, Ian Hajra, Arnesh Batra, Hugues Van Assel, Damien Scieur, Randall Balestriero — UniReps: 3rd Edition of the Workshop on Unifying Representations in Neural Networks, 2024

Theses

Acceleration in Optimization — Damien Scieur — 2018

Global Complexity Analysis For The Second-Order Methods — Damien Scieur — Université catholique de Louvain, 2015

Preprints (arXiv)

LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels — Lucas Maes, Quentin Le Lidec, Damien Scieur, Yann LeCun, Randall Balestriero — 2026

Navigating Potholes with Geometry-Aware Sharpness Minimization — Simon Dufort-Labbé, Mohammadreza Hamidi, Razvan Pascanu, Ioannis Mitliagkas, Damien Scieur, Aristide Baratin — 2026

stable-worldmodel-v1: Reproducible World Modeling Research and Evaluation — Lucas Maes, Quentin Le Lidec, Daniel Haramati, Nahaad Massaudi, Damien Scieur, Yann LeCun — 2026

stable-worldmodel: A Platform for Reproducible World Modeling Research and Evaluation — Lucas Maes, Quentin Le Lidec, Lucas Facury, Nahaad Massaudi, Aryan Chaurasia, Francesco Capuano, Damien Scieur — 2026

SING: A Plug-and-Play DNN Learning Technique — Adrien Courtois, Damien Scieur, Jean-Michel Morel, Pablo Arias, Thomas Eboli — 2023

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 — 2021

Generalized Framework for Nonlinear Acceleration — Damien Scieur — 2019

Nonlinear acceleration of cnns — Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis Bach — 2018

Online Regularized Nonlinear Acceleration — Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis Bach — 2018