← Authors

Damien Scieur

16 papers · 2016–2024 · 4 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (10) πŸ—ΊοΈ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ”¬ Deep Specialist (10) πŸ’Ž Century Club (16) πŸ—ƒοΈ Keyword Collector (66)

Conferences

ICML (6) AISTATS (5) NIPS (4) ICLR (1)

Top co-authors

Fabian Pedregosa (6) Alexandre D'aspremont (3) Gauthier Gidel (3) Francis Bach (3) Lewis Liu (2) Simon Lacoste-Julien (2) Carles Domingo-Enrich (2) Nicolas Boumal (1) Courtney Paquette (1) Ioannis Mitliagkas (1)

Keywords

convergence rate (5) gradient descent (3) momentum method (2) polyak momentum (2) variance reduction (2) convex optimization (2) quadratic objective (2) optimization method (2) accelerated optimization (2) average-case analysis (2) extrapolation method (2) quasi-newton method (2) convergence acceleration (2) hessian approximation (1) spectral analysis (1) hierarchical classification (1) strongly convex (1) logistic regression (1) stochastic gradient (1) nash equilibrium (1)

Papers

Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates AISTATS 2024
Only tails matter: Average-Case Universality and Robustness in the Convex Regime ICML 2022
The Curse of Unrolling: Rate of Differentiating Through Optimization NIPS 2022
Super-Acceleration with Cyclical Step-sizes AISTATS 2022
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets ICML 2021
Average-case Acceleration for Bilinear Games and Normal Matrices ICLR 2021
Generalization of Quasi-Newton Methods: Application to Robust Symmetric Multisecant Updates AISTATS 2021
Connecting Sphere Manifolds Hierarchically for Regularization ICML 2021
Extra-gradient with player sampling for faster convergence in n-player games ICML 2020
Accelerating Smooth Games by Manipulating Spectral Shapes AISTATS 2020
Acceleration through spectral density estimation ICML 2020
Universal Average-Case Optimality of Polyak Momentum ICML 2020
Nonlinear Acceleration of Primal-Dual Algorithms AISTATS 2019
Integration Methods and Optimization Algorithms NIPS 2017
Nonlinear Acceleration of Stochastic Algorithms NIPS 2017
Regularized Nonlinear Acceleration NIPS 2016